{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Copyright (c) MONAI Consortium  \n",
    "Licensed under the Apache License, Version 2.0 (the \"License\");  \n",
    "you may not use this file except in compliance with the License.  \n",
    "You may obtain a copy of the License at  \n",
    "&nbsp;&nbsp;&nbsp;&nbsp;http://www.apache.org/licenses/LICENSE-2.0  \n",
    "Unless required by applicable law or agreed to in writing, software  \n",
    "distributed under the License is distributed on an \"AS IS\" BASIS,  \n",
    "WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.  \n",
    "See the License for the specific language governing permissions and  \n",
    "limitations under the License."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Overview\n",
    "\n",
    "This notebook introduces you MONAI's transformation module for 3D images.\n",
    "\n",
    "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/Project-MONAI/tutorials/blob/main/modules/3d_image_transforms.ipynb)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup environment"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "!python -c \"import monai\" || pip install -q \"monai-weekly[nibabel]\"\n",
    "!python -c \"import matplotlib\" || pip install -q matplotlib"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup imports"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "from monai.transforms import (\n",
    "    EnsureChannelFirstd,\n",
    "    LoadImage,\n",
    "    LoadImaged,\n",
    "    Orientationd,\n",
    "    Rand3DElasticd,\n",
    "    RandAffined,\n",
    "    Spacingd,\n",
    ")\n",
    "from monai.config import print_config\n",
    "from monai.apps import download_and_extract\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import tempfile\n",
    "import shutil\n",
    "import os\n",
    "import glob\n",
    "\n",
    "print_config()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setup data directory\n",
    "\n",
    "You can specify a directory with the `MONAI_DATA_DIRECTORY` environment variable.  \n",
    "This allows you to save results and reuse downloads.  \n",
    "If not specified a temporary directory will be used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "directory = os.environ.get(\"MONAI_DATA_DIRECTORY\")\n",
    "if directory is not None:\n",
    "    os.makedirs(directory, exist_ok=True)\n",
    "root_dir = tempfile.mkdtemp() if directory is None else directory\n",
    "print(f\"root dir is: {root_dir}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Download dataset\n",
    "\n",
    "Downloads and extracts the dataset.  \n",
    "The dataset comes from http://medicaldecathlon.com/."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {
    "tags": []
   },
   "outputs": [],
   "source": [
    "resource = \"https://msd-for-monai.s3-us-west-2.amazonaws.com/Task09_Spleen.tar\"\n",
    "md5 = \"410d4a301da4e5b2f6f86ec3ddba524e\"\n",
    "\n",
    "compressed_file = os.path.join(root_dir, \"Task09_Spleen.tar\")\n",
    "data_dir = os.path.join(root_dir, \"Task09_Spleen\")\n",
    "if not os.path.exists(data_dir):\n",
    "    download_and_extract(resource, compressed_file, root_dir, md5)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Set MSD Spleen dataset path\n",
    "\n",
    "The following groups images and labels from `Task09_Spleen/imagesTr` and `Task09_Spleen/labelsTr` into pairs."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "train_images = sorted(glob.glob(os.path.join(data_dir, \"imagesTr\", \"*.nii.gz\")))\n",
    "train_labels = sorted(glob.glob(os.path.join(data_dir, \"labelsTr\", \"*.nii.gz\")))\n",
    "data_dicts = [{\"image\": image_name, \"label\": label_name} for image_name, label_name in zip(train_images, train_labels)]\n",
    "train_data_dicts, val_data_dicts = data_dicts[:-9], data_dicts[-9:]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The image file names are organised into a list of dictionaries."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'image': '/home/wenqil/Documents/monai_data/Task09_Spleen/imagesTr/spleen_10.nii.gz',\n",
       " 'label': '/home/wenqil/Documents/monai_data/Task09_Spleen/labelsTr/spleen_10.nii.gz'}"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "train_data_dicts[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The list of data dictionaries, `train_data_dicts`,\n",
    "could be used by PyTorch's data loader.\n",
    "\n",
    "For example,\n",
    "\n",
    "```python\n",
    "from torch.utils.data import DataLoader\n",
    "\n",
    "data_loader = DataLoader(train_data_dicts)\n",
    "for training_sample in data_loader:\n",
    "    # run the deep learning training with training_sample\n",
    "```\n",
    "\n",
    "The rest of this tutorial presents a set of \"transforms\"\n",
    "converting `train_data_dict` into data arrays that will\n",
    "eventually be consumed by the deep learning models."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Load the NIfTI files\n",
    "\n",
    "One design choice of MONAI is that it provides not only the high-level workflow components,\n",
    "but also relatively lower level APIs in their minimal functioning form.\n",
    "\n",
    "For example, a `LoadImage` class is a simple callable wrapper of the underlying `Nibabel` image loader.\n",
    "After constructing the loader with a few necessary system parameters,\n",
    "calling the loader instance with a `NIfTI` filename will return the image data arrays,\n",
    "as well as the metadata -- such as affine information and voxel sizes."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = LoadImage(dtype=np.float32, image_only=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (512, 512, 55)\n",
      "image affine:\n",
      "tensor([[   0.9766,    0.0000,    0.0000, -499.0232],\n",
      "        [   0.0000,    0.9766,    0.0000, -499.0232],\n",
      "        [   0.0000,    0.0000,    5.0000,    0.0000],\n",
      "        [   0.0000,    0.0000,    0.0000,    1.0000]], dtype=torch.float64)\n",
      "image pixdim:\n",
      "tensor([0.9766, 0.9766, 5.0000], dtype=torch.float64)\n"
     ]
    }
   ],
   "source": [
    "image = loader(train_data_dicts[0][\"image\"])\n",
    "# print(f\"input: {train_data_dicts[0]['image']}\")\n",
    "print(f\"image shape: {image.shape}\")\n",
    "print(f\"image affine:\\n{image.meta['affine']}\")\n",
    "print(f\"image pixdim:\\n{image.pixdim}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Oftentimes, we want to load a group of inputs as a training sample.\n",
    "For example training a supervised image segmentation network requires a pair of image and label as a training sample.\n",
    "\n",
    "To ensure a group of inputs are being preprocessed consistently,\n",
    "MONAI also provides dictionary-based interfaces for the minimal functioning transforms.\n",
    "\n",
    "`LoadImaged` is the corresponding dict-based version of `LoadImage`:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [],
   "source": [
    "loader = LoadImaged(keys=(\"image\", \"label\"), image_only=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (512, 512, 55)\n",
      "label shape: (512, 512, 55)\n",
      "image pixdim:\n",
      "tensor([0.9766, 0.9766, 5.0000], dtype=torch.float64)\n"
     ]
    }
   ],
   "source": [
    "data_dict = loader(train_data_dicts[0])\n",
    "# print(f\"input:, {train_data_dicts[0]}\")\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image pixdim:\\n{data_dict['image'].pixdim}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualize\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Ensure the first dimension is channel\n",
    "\n",
    "Most of MONAI's image transformations assume that the input data has the shape:  \n",
    "`[num_channels, spatial_dim_1, spatial_dim_2, ... ,spatial_dim_n]`  \n",
    "so that they could be interpreted consistently (as \"channel-first\" is commonly used in PyTorch).  \n",
    "Here the input image has shape `(512, 512, 55)` which isn't in the acceptable shape (missing the channel dimension),  \n",
    "we therefore create a transform which is called to update the shape:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 512, 512, 55)\n"
     ]
    }
   ],
   "source": [
    "ensure_channel_first = EnsureChannelFirstd(keys=[\"image\", \"label\"])\n",
    "datac_dict = ensure_channel_first(data_dict)\n",
    "print(f\"image shape: {datac_dict['image'].shape}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Now we are ready to do some intensity and spatial transforms."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Reorientation to a designated axes codes\n",
    "\n",
    "Sometimes it is nice to have all the input volumes in a consistent axes orientation.  \n",
    "The default axis labels are Left (L), Right (R), Posterior (P), Anterior (A), Inferior (I), Superior (S).  \n",
    "The following transform is created to reorientate the volumes to have 'Posterior, Left, Inferior' (PLI) orientation (To ensure the spatial axes are processed consistently across the subjects, this orientation transform should be put before any anisotropic spatial transforms):"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [],
   "source": [
    "orientation = Orientationd(keys=[\"image\", \"label\"], axcodes=\"PLI\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 512, 512, 55)\n",
      "label shape: (1, 512, 512, 55)\n",
      "image affine after Spacing:\n",
      "tensor([[ 0.0000e+00, -9.7656e-01,  0.0000e+00,  4.7684e-07],\n",
      "        [-9.7656e-01,  0.0000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [ 0.0000e+00,  0.0000e+00, -5.0000e+00,  2.7000e+02],\n",
      "        [ 0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00]])\n",
      "label affine after Spacing:\n",
      "tensor([[ 0.0000e+00, -9.7656e-01,  0.0000e+00,  4.7684e-07],\n",
      "        [-9.7656e-01,  0.0000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [ 0.0000e+00,  0.0000e+00, -5.0000e+00,  2.7000e+02],\n",
      "        [ 0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00]])\n"
     ]
    }
   ],
   "source": [
    "data_dict = orientation(datac_dict)\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image affine after Spacing:\\n{data_dict['image'].meta['affine']}\")\n",
    "print(f\"label affine after Spacing:\\n{data_dict['label'].meta['affine']}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[0, :, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[0, :, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Resample to a consistent voxel size\n",
    "\n",
    "The input volumes might have different voxel sizes.  \n",
    "The following transform is created to normalise the volumes to have (1.5, 1.5, 5.) millimetre voxel size.  \n",
    "The transform is set to read the original voxel size information from `data_dict['image'].affine`,  \n",
    "which is from the corresponding NIfTI file, loaded earlier by `LoadImaged`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [],
   "source": [
    "spacing = Spacingd(keys=[\"image\", \"label\"], pixdim=(1.5, 1.5, 5.0), mode=(\"bilinear\", \"nearest\"))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 334, 334, 55)\n",
      "label shape: (1, 334, 334, 55)\n",
      "image affine after Spacing:\n",
      "tensor([[ 0.0000e+00, -1.5000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [-1.5000e+00,  0.0000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [ 0.0000e+00,  0.0000e+00, -5.0000e+00,  2.7000e+02],\n",
      "        [ 0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00]],\n",
      "       dtype=torch.float64)\n",
      "label affine after Spacing:\n",
      "tensor([[ 0.0000e+00, -1.5000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [-1.5000e+00,  0.0000e+00,  0.0000e+00,  4.7684e-07],\n",
      "        [ 0.0000e+00,  0.0000e+00, -5.0000e+00,  2.7000e+02],\n",
      "        [ 0.0000e+00,  0.0000e+00,  0.0000e+00,  1.0000e+00]],\n",
      "       dtype=torch.float64)\n"
     ]
    }
   ],
   "source": [
    "data_dict = spacing(data_dict)\n",
    "print(f\"image shape: {data_dict['image'].shape}\")\n",
    "print(f\"label shape: {data_dict['label'].shape}\")\n",
    "print(f\"image affine after Spacing:\\n{data_dict['image'].meta['affine']}\")\n",
    "print(f\"label affine after Spacing:\\n{data_dict['label'].meta['affine']}\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "To track the spacing changes, the data_dict was updated by `Spacingd`:\n",
    "* An `image.meta['original_affine']` key is added to the `data_dict`, logs the original affine.\n",
    "* An `image.affine` key is updated to have the current affine."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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trK2txWX1er1421ZuB62r/V2o/M667wHL+Ykoit57Kwreqed5zE1G73cfuhVVDAjYV/hi9Kj3eb4VUvbHAHxw9PnXAfwZgC0f5N2CEoJPsvaRkLWSfdZWWrAS9zMQi1JxsVhEPp+P5WYS8NraWlxGLpfDxMQExsbGMDU1hXq9Hkdb0wrW62zVZpIbyVfl37Q52Lrfbvcdp+1N8+UqyfJ4zcY1NjaGRqOxqV7avxy0NJtNrKysYHl5Gc1mE/1+H9VqFb1eL7awoyhKkLe1nq3ykebC2APkfDtxxzzPAQH7BW+WmCMAfzKyeH8piqJPATgcRdGl0f7LAA6/yWvcEthgq7TPPtJJ8yPrNktaSsrVahXj4+PIZrNotVoJaZY+XsrYtVoNU1NTmJycjC1jjRpXX6uPGNUitW3YKvgpbfCxVTutr9wSX1oZ2j9sC0HyTgMHJrVaDbOzs1hbW8PKygrm5+exvLyMbrcb+65brVZsgVs1gPVVn7LtB27bx+R8xz7PAQH7CW+WmD8QRdEF59wMgC84576lO6MoitJkaufcJwF88k1e/6bgk6Hty9lKrHqclUPTLGvdTz9osVhEoVDAcDjE8vIyhsMhCoUCxsfHcejQIUxMTKBWqyXkaSAZ2Uy5WeuTNlhIIz/+V6nW1z+WhCzRWqnaVwebNcyW4zter2v7U0mVZVACz+fzmJmZwaFDh9DpdLC8vIylpaWYlNvtNlqtFjqdDtbW1mKJXBUH9Y9bX7Rebx/Oc96R57mEyq2vaUDAPsabIuYoii6M/l91zv0ugPcBuOKcOxJF0SXn3BEAV1PO/RSATwG318fskzHTpGv9bK2oUb1Tpxyp35iSM/2iLPPw4cM4fPgwJicnMT4+jnK5nLCGKb0CSeLTyGtey17bkmRaIJQeY/+nWbo2A5rWzZ6fRuT2evZajOomSVtr2jfgUPXAOYdyuYxqtYrp6ek46rvZbGJxcRGLi4sJtaLX6yVUCEap+wYP+5Wcd+p5HnOT+ztKLiDgFuOmidk5VwWQiaJodfT5wwD+KYDPAvhhAD8z+v/7O1HRnYDPUgb8iznosT4C8wWAUeZkYNb4+Diq1Sry+Xx8TC6Xi+XpRqOBXC6XmAZEf6+1bn1zl31zjdMGG1p/n2/YkiO36drF28nKtt4+MrPbrGSuZGhJ2Ser28hpEqVK0tlsFuPj4xgfH8fs7Cz6/T4WFxdx/vx5XL16NSbnVqsV+/XtQEGvvR+jte/E5zkgYL/izVjMhwH87uhllQPwr6Mo+rxz7nEAn3HO/SiAcwB+4M1X881DrV79buELCOJ/G9ilL+RcLodSqYSpqSlMT0/j8OHDqNVq8TQkvRZf7MxyxXr5fNo+y12/a918lq8tx+db3a7dSkhbEZatt7Wk7fV5vObYpmRvl2a0067U5aDl8liti857dm5j3vXs7Cymp6extLSEc+fO4erVq6hWq2i1Wmg2m7HErfdM28Vrb6cu3EG4o57ngID9jJsm5iiKXgHwTs/2eQB7aq6Evjyt71Kn0Oh3+8JVwtFjGT185MgRHDt2DLOzs5sCtFSGVcvTWrZq4aVZiWnWnG2vJdq0RCY+K9RH5r65175z0yzmrSxttc6VqK00r/tZLy1f/+z95HVYxtraGrLZLCYmJtBoNLCysoLXX38dc3NzKJVKWF5eRqfTSfib0/ovl8sl/P53Iu6k5zkgYL9j32f+8lnG9mWtJEYS2ooYnXMxIR89ehRvectbcPjwYRSLxTi7FiVpW471t1oCslO47Gc9l//TZHV7DR852nJ8bdeIb2u563k+aL19S0da37GVr319xMGNDqrSBht20MNr8TvXYh4fH8fY2BiWl5fx+uuv48qVK1hdXcXS0hK63S4Gg0GijVoflrGf/M0BAQG7h31NzGmWoO7zScJqFVrCKxaLqNVqaDQaOH78OE6cOIFKpYLhcBinvtRr6HXS5GJbP7UKtaw0eT1N/vZJyZbMfFa7LZcZv6wFqtvSFAZbn7R2W0vYEiqvayVkXxu0jLSlOrV+Gmg2MTGB8fFxHDlyBGfPnkW5XMbi4iKazWZMvDyX/aLX2qfTqAICAm4jDgQxWysvbZvvXABxSsixsTFUKhVUq1WcOnUKs7OzieAta91ZcvL5kS3R8Ng0H7Put7Ktts1nbdv2Wtme26zlTuuU25gClOcx4tw5F68cpXN+fVazlZttf9n7ZAlPt+n1tZytFtew94rtIkHPzMxgbGwMr7/+Oi5cuBBHcnc6ncS5dr4zgEDOAQEBbwr7lph9UrCPnH37lVjy+TwmJiZQr9dRKBQwNTWFu+66C9VqddMqR2lkaufFqiUXRVFMID7rT4lTSc1HVmkWIolPF3DgZztX2+e/Zb5qyrWcSmSzcZGIdW60r0/0v96vtHtirVv+Z9+pAmD7So+xK03ZwYxK3P1+H4VCAadPn8b09DReeeUVFAoFXLt2Dd1uN+H24PlbuR4CAgICbhT7kpithAykJ7kgrHTMKOvJyUnUajXUajWcPHkShw4dQi6XSywoobAE4fPtKvHbl7jPgrcE5UvmoSRLErWWb5o6QCmXpGd9pZlMJs7f3el0YquY5WcymTgRCqeLabkcwLCe1oK28PWXkp5a49ofSq5WbuY2leUt2GfcNxgMkMvlMDY2hgceeABTU1M4e/YsLly4gJWVlbgc/R045/ZFMFhAQMDuYd8Rs++lbj/7yFBfrPl8HtPT0zh69ChqtRomJydx6NAh5PN59Pv9xMIIlnh91pKVm1XyJFGo1WxhLUJrSZMM1DK0x2h9aeX7BhY81mbC4kpOaoEy0I2LZNASt9Y3cF3+5nXVr2unJfmkee1HtZL1mLQBi8+nbe8LPzOQi+dwOlu5XMbJkydRLpdRq9Xw2muv4dq1azEBq2zva1dAQEDAjWLfErMlLt1vZVe1wOr1Ok6fPo2TJ0+i0WgkllzUrF2WlH2yrZV1bT3ttCggaQ2n+WlJxBrB7IsY1kxWOkVLj2F5vCZXm9L+4cIP2Ww2nmbEnN69Xi9WD3g+9/E61prPZDIxqWtSFR0sWDXBRotzG9sJXPc1EypNW/hcCfxMUtWBU6/XQyaTwdTUVJwytVAo4OLFi5vmorMftG4BAQEBN4p9RcyWgC1Z6kvaBmwVi0UcPXoU999/P44fPx4HdTGfssJOT/IRsr7Y1bqz/k1LHL7BhJ5nl3ZUQqQVqzK7LY8DAlqv/K7ZybR+JCrK2IuLi8jlcolUo7lcDs5dz7o1HG6si0yJm2SsViSJW9tAq1rLsRa0BsuplazzxrfLiGblcB2oqaJgM55F0cb851KphLvvvjtedvP1119Hs9lM9HewmgMCAm4W+4aY7UuWL0afpcXjeU6tVsM999yDhx56CPV6PbbirFzqI2SNVraysc9asyTMMqykyrpxTWUt21pjURSh2+0myNbWnUtDsixK05RpSUAcjMzPz8cpRek/BoBSqRQPagaDQfy90+nEx5GM+/1+Yv6vEjQJn+SnPmPgeoQ0Bxo++EhZI7FtYJYeq7Kz+pathW8JfDgcYm1tDfl8HidPnkS1WkWxWMSZM2fQbDYTg4YoiuJ4hICAgIAbxb4iZoV9seocWiW9mZkZPPTQQzh16hQKhULClwokJXE7/cZaZtZH7PNjp+3X8mihKnEpidCiXFtbi0nSWn6+ZBdKMLRYuW0wGGBtbQ39fh/NZhMLCwvxWtHqcwWuW7aVSiUm9Lm5uXgpS66FnM/nY7LXe8C+V9+0+o5V5uef3heWyf5Sd0FaVjUlVvt74L3zXZv3Sa1x5zamhWWzWRw6dAjveMc7UCwW8dxzz8XkrPfXF3cQEBAQkIZ9QcxqxQL+KGYgOd2oVCrh5MmTePjhhzE1NYXh8PrKTzfyErXytb2mDZ6yJK3ncBsDuOz5Si6DwWBTIhMA8brDVADYVk5t6vf7CYtZyXAwGGBlZSVu+2AwQKPRiEm2WCzG21dWVuI1pdX/yvPr9XpMXMViEaurq1hYWECtVsPY2BgAxIMA/uXzeeTz+dSgr0wmg2KxGLsUdOqWDkr0Huv5ADZNk9L+1TnZ1lfMbb4BFdfPrtfrePDBB+Gcw3PPPYfl5eWEYhKitAMCAt4I7nhi1petlTW531pIlUoFDzzwAB566CE0Gg30+/2Y7NSHyePt9axkDVz3KRKWMLQs3aY+Wj2Xx2mQlI8wKB8XCgWUSqUEafM8Wsfqv6XFqvWhFTg2NpYgL85dzmQy6PV6ceCTTsmanJyMp1FxgEAZvFwuAwBarVY8DY0SNa3vwWCAQqEQt0etZYW6KFh/nU/uu4e+gZZVRHwDO1+MgI1ZoN+5Wq3i/vvvx/r6Op577jm0Wq1EO0LKzoCAgBvFHU/MADbJlDbwiy9rLlrwzne+E3fffTdKpVIcVUyonzIteMpaXFaittKlyqVKZkpEGgQFXPexsh72Gvl8HoVCIUEetCxJAiQ8KgRKXkpIJGQNjPIREf3CnNNMa7xQKGBiYiIOgOI+toeSdr/fj63TYrGYWDmKJJ3P52O/uroj1Bev5Awko7HV/23lbL0vW7kWVPpWUrbn8xwOgOr1Oh544AEMBgO8+OKLaLVa8SAhEHNAQMCN4o4mZvW9AumLJNCynJ2dxbve9S4cO3YsDoDS6GzAbxEp1EK2xK1E4PP7pgVzKUioGhlsr5PNZlEqlQAA7XY7Prfb7SKXy6FQKMT+X50qRXLgdibQ6PV6cVAT68Y2lEqlhNVYLpeRz+c3kSEA1Gq1uD3VajWur/YPZexSqYRSqRT7yTlAobzNFbo4GOD1rY9YSVrncrN+nN5lCdYO3Oy9txHeem1eVy1ttqNWq+H06dPodrs4e/ZsnMJTLfmAgICArXDHE7N+5ktaX4R8SZ88eRLvfve7MTMzk4i65rlKfj550wYv+eRRLUcThpCYSWgcFKjcrkk8tA5qvbIcklar1UoQFMvu9XoJ+ZoWmxILo7RplStxAhuLddCy5fxl+p5p1eo5zrnYMubgg75ttof/lfA6nQ5arVacuINRzN1uF8CG5F4sFuP7WigUNg1e6L/lQIP9z//sB3UH2AAtayGrRa59r/stubMvG40GTpw4gWaziStXriTcJD55PiAgIEBxxxKz9fUC/tSNxWIRd911F/7aX/trqNfrMVFY+CRqbrcvYJ9FrJaxvuxJUnaur0rYjIbWKT/2+iQ+knu73Y6lY1qe5XI5LqPf76NcLsdE1+v1YpK1ljwDqzTAjL54JbZisRhHi6vlSLJkn9Ca7/f7uHLlCiYmJhL+bB2ccBCRz+fRbrdRq9VQKBRiP/X6+jra7XasBLD+OtBYW1uLSVEtcG2n+tR1UGTvrZW27WCP95X7eL94Hn3ls7OzWFxcxGAwwPLyMnq9XlxumD4VEBCwFe5IYiaBKHwyZbFYxFvf+lY8/PDDGB8fj1/I1mJJ80nzu/pC+QLWucs28Ivb6QemxalkSJLWBCZKdvqdZMypRcPhEN1uNyZbAImpXgBiYta5zSQw4HpCknw+j3K5HCsItLwHg0FMlIzOJlgfa12SNG0fqLTM69GyX1lZwaFDhxBFEVZXVzEcDjE+Ph5b9Ox/+qA50FGi1YhutteugKWxA/aeKMnyeJ7L34HK0Jak7e9gMBigVqvh8OHDuHbtGiqVCtbX1+PsYcHfHBAQsBXuSGIGNk9PApLSdqlUwv3334+HH34YlUolJmX1eaqcqb5jG+mtqTNtgJTPSgYQW4HA9XSOtOIoWysx6Bxmvba1UmkV0lIm2dBS63Q6cX10fq/OAeY2zW9dLBbR6XRiwlNfKK1hWtUkWpanFipJnf0yPT2dsBCVFOfn59HpdOI61ev1ePCg5ZPU6Z9m+QBiWZ1WK0mabdBgM/atDoRYNxtFrytoqdLBY9XVwHuj/eacw8zMDKrVKprNJhqNBlZWVuJpa4GYAwIC0nDHEbNPwrayJEn5Xe96Vzw1B0jOJ1ZJl2XwfCV7GzSkL2IFCVuDu0hkOj+ZsrV9MfM6ev61a9dQLBYxPT0dX7vf76Pb7SauXygUEkRXKpUwNjbmTaKhfk6SIMmfqgLn/JLM2H/M8FUoFGLZnFPN1FrUwQut68FggHq9jlKpFNenVColBgusC4mL9dMobT2WYC5v7WveCx3QaBS3+t5JvPa+Wz+07lPlxE7RY99yrvzVq1fR7/dRq9ViVYDXDwgICLC444hZoYRJlMtl3H///XjnO9+JcrmckHd90b32fJ/fGthsJbE8kjmzWOXz+fjFqz5mWnzdbtcbBc56MTEHALz66quIoo1I6PHx8fg4Rl/T70rJHNgg6ZmZGVQqldiy5nnqm1Xi6fV6KJVKcfAWgARhkYBtf+i0JA4WGJhGotNFLehX1yA2WrgkUs591vnbvihtJVWdVqZuB43U5qBBg+V4bxiwRvmb+9lv1tWhrhQbOKgDAOccDh8+jEajgddeew3VahX1eh2rq6uxHz0gICDA4o4iZpWNrT+WxEhLmfI1z1MyVr+hRuJaolaLU49VUmU5JEiNciYpcA6vz8etn5eXl3Hu3DlMTk7i9OnTOHHiRGxh8TzmpNZI5eFwiLGxsTjrllqEWwU3qdXHiGaNHAeQiLhWSZ7tBBBL4tpPtLwp57NOasmOj4+j1+vFFm+hUECxWES/34/7jmSpPl61UNWdwPoSHDjwt8Hz2FYOdlqtVjytSi3nNFLW8n2/BXU5lMtlzMzM4OLFi2i1WqjVaqjX62i323GgWkBAQIBi8zI8Bs65X3HOXXXO/ZVsm3TOfcE599Lo/8Rou3PO/Qvn3MvOuWecc+/e0cqapB6ja8ZTkRjopRmwrG8YQMJq4j5ruerLntu5jS9fXrdarSKTycTJSjQHNFNoquVuydE5h+XlZTzxxBP41re+hRdffBGLi4s4evQo7rnnnkS0daVSQbVajSOfNTe0klmv14tf+ur/1muTNNfW1tDr9dDpdBIBbxrwVSqVUK1W40hvlkdLXSPPVaq32cZ8fTc2Nha3SS1hKgLqSyexAsnUnnod/a1Qheh2u3EKTVrvrAvzelO+1wELSVbvPX87HOzp4JAqA+9JJpOJfc0cWFEt0MVBbhf20vMcEBDgx7bEDODXAHzEbPspAH8aRdFpAH86+g4A3wvg9OjvkwB+YWeqmSRlS2zZbBYnT56MLWWVLK1Fw7JIiOrrUwtJpWtrafKFm8/n4wxWtOp0ju/a2locPa3R0b7pN/Pz81hcXIwjkDudTpz4Q8+hVUmC4SBALXNaoZSS1f+q/abSNuX3TqeDdrsd19kGXOkcYvrQWdZwuJFvnOdayVcHR1oPPc76nLUOdnDls2gJRnFrxLVa33ovCoVCLKHbGAZrFSsR24EakBwo8XjmCedvotlsolAooF6v3/Dvfwfxa9gDz3NAQEA6tiXmKIq+DGDBbP4YgF8fff51AB+X7Z+ONvBVAA3n3JEdqmvihad+yWPHjiXmKVvrlwRkX5jAZitSyZLflTz4VywWY5+sWkyM4KaVzEGCkpeVswHgyJEjOHnyJBqNBur1eux7pTVoA474n3OIdVEIJQ5d7tFGW7N+2r8KtoMBa/zc6/ViKZb1o5Wu05FoQevCGSxX04OqBM5+5DGaGMSndJC8rdSsrgr97XS73Xgpymw2G0/d4v1kwBrvpVrJLEd93bZNOgChr71cLqPRaMR1YABfpVK57eS8l57ngIAAP25WSzscRdGl0efLAA6PPh8D8Locd3607RLeBNRKsiQ6PT2Nd7/73ZicnIyJgefwRWh9k3o+YS02feGqnEl5NZPJeKOuVbpmPeyLneTMlz5l4vHxcSwvL6Pb7cZ5vDmHmGRBgmKZKpOzzrSmSZjaZhs9bPuJ+zT63Od/177SstbW1mKS02lEKgGzTppIhXW02bm07nofdBvLUeK21jm3MZAtijbmTTMTHABUKpU4OE9/HzrA43ff74gDCh0A8vfBFKnc1263kc/nUalU4kQxu4jb+jwHBARsjTft5IqiKHLOveG3inPuk9iQx7aFtV75UqzVanjb296GY8eOeacfja4D4LosqvuUmJSArDzK7yQ84PpKTHZKDmVknseXuMqnaj1rG2u1Gmq1Wpztqt1uJ6R1+rEBxBK6zs8meSh5q4KgAw5CpV25N3GfWWJWwtHjtY/4n1K63jOWwfuhKoBGV6dZwjbCnvK6nYPMsjRPNi1lnf6Vz+dRr9c3DTBYHy1f26v14P3Xelg3CH3Kqpi0Wi1MTk4in8+nZqS73diJ57mEyo7XKyDgIOFmifmKc+5IFEWXRtLW1dH2CwBOyHHHR9s2IYqiTwH4FADcyIvAvphLpRLe/va34+677479iTxOpWJr6SmppM0j9cmrfLmSdEnQtGLpT9Y68Bo+HyiA2CetPm+SmfqD2b7hcIh2u51I62nn5nIfScgOLnRQ4usfPVYtT8qyvn5Rq5j+b+7zZbmiX1xTkWq/6fFaDw48fIMEnyqg6oS1+ukzX15eTgysGDync6bV2td7p32mkeMqo/OYer2OYrGYiBvg+tb1eh3z8/Obfh+3ETv6PI+5yZAMPCDgTeBGgr98+CyAHx59/mEAvy/b/47bwLcBWBaJ7OYqaAKl3Mhvetddd+H+++9PrHKkhKxWjM/y0mOUzH1BY8yMZaNv9YWt+Zp99WdZCgZy6cvcErRGINM3qSAhqvWpwVyKrZQCX12tdW37SsvUdJmWzG1/aJYwnffM4CyVsX111uv6Bhb8znrqQEuPJzk2m83YJZD2e7GDFNZB+87XjyT8crmMer2e2Keyusr6u4Db9jwHBARsj20tZufcbwL4IIAp59x5AP8YwM8A+Ixz7kcBnAPwA6PD/xDARwG8DKAN4Ed2qqJ88Q2HQ0xPT+Ntb3vbplSb1nKixWbJ0srW9nz7EibZaGAQwZernT9rLVC9LsskKSsZ6SINnHLFeb5RFCXmGutAQNNUKkko4VsSUYIBEPvKe71eYhChAxYr0+r51jK10e60KFXGZ1IRBpVpO/S+2IGHWtK6QIav7dpm3cY6aP/qgIXXUx+2va++iH79zv3FYhGHDh3C4uIi2u12wh/OgZ8u4XmrsFee54CAgHRsS8xRFP1Qyq4PeY6NAPzEm60UobIpX3T1eh333XcfpqenE7mmCX3pW8vOHmetP15TZWTOa2V2KCVXWrEkE+tX5H/NZMUXN9dBjqKNyGtdiEEXv1hfX8fq6mpM0pqD2wZ9Wctb96X5SbU9JE3tQ2tV633RAQz94tlsNp6PrMdr/WyUOducy+VieVv7VH30PB5AYhBjp0GxTSova7sVtJJ1YMO+4lQxXs8nmWu/6j5ddSqbzWJsbCwRYMb7xCC/24HdfJ4DAgJuDHs685cluVwuhxMnTuDkyZMANq/CBCBBMj6r1b6o9YVtiVstZTsfV+fy6nUJHRyQlNkGSrkq4ZKw2u02Go1GTDq0kJVEOa83Td7VwYaVei3BqjWbljFMSdx3LfXpcrlGmzzDWuD23lDOde56ljGS4lZWsCY7sVO/2Ke+9tsBh1ry1rdsZXJtrx046u9H65zP52NiXl5e3jTfeTeSjQQEBOxN3KyP+ZbD99KbmJjA0aNHUalUNkmx9sVvZVp9UduXqF5TyQe4Ll9SWtZrWAKzhKjky30qE9O65FSaKIpimZPH2HM7nQ663W7qIhgqwVtyBa5bg9zPfioUCqjVaqhWq3GZ6g+1bSeZaHlsa7PZRLfbjclWCU4XD2Ef+qLFS6USarVaPM9Y76WVo61vX/3Teq5K+XaQwUEW28VzC4XCJjeJtoPn2zr6AsXq9TpqtVrcl1oeiTsgICBgzw/TKfFxnu/k5GTsd7WyrY+s1WK0ljX/W7+gJgpROVUHCwASJG+lYX2Rs05MwlEul+MEEyQCEtTs7Gwc8c0lEbWOeg1r9VsJWqFlaFISBcmVEdN6rvUNcz43ZWRGjfM/iVkzoVkp3Q5odGUqgitQ2aA3GwWtf1q+Dkh8fciyhsNhvHiIJWI78NP99nfks7LZf+VyGdVqNTEAZH+Xy2UUCgWsrq4mrhUQEHDwsGeJWV/i+XweU1NTKJVKGB8fT1iL1l+YJpNan6clTSUElRV9gWPZbHZTIoo0K1z9nNVqFbVaLfY561xoBl5xQMCsWlpHlemtJaz7ffI128fkKMPhMJauo2gjGxVTRXK9ZCVkez0GLPH+0KLX/mZAF6OvrYSvUdtKlvTlWomb/cwyeB3fveV9sr8Ju01dHjoQW19fT0SYq0/YXs+6MexvQX9/zPvNejAXeKlU2tQnAQEBBxN7lphV7p2ensZgMIin1liLwlpf1p/MY7RsX8COc9fTR+q8aPp5rRyu9fS9oG09+EJeW1tDoVBIRGRzMMCALk4dUunXZ2UqsahErMdrG3S1J50fzehyBmFpMJgdeDDgyioVXMZRc2vzjz5jEj/JVwcSbJcvmlvvmxK0laj1v43kph/aWr9WkWD7NBhO+1z906qiaHusosEyaSGz3HK5jGKxGC+b6RvcBQQEHCzsSWLmSwxAnDe60+lgenp6k0Xhsw7ti52f7UvTvtxpZVnLTJdBdM7F0i2/qwWlhMgXM1N3kpwp79KXqdHKJGa1zrgqkvov9SVuJV0lCyubUjLWHN9qgdJq0362qoMN7tLgOF0ZSsld816rFWz7wKod/K9Zs7Q+9r5qfXk/eIyucqX72G5eh/dMp3TptS2Z63Zbd/YXcF0yr9VqCQu+1+vFxDw1NYXLly/bRyIgIOAAYU8Ss/pCx8fH0W63MTExgZmZmdi605ciz1ELWUnGWkP2OirzqhWqkqNKn0owPgnbWnAEz7WEBSC2XH2WvFrpVlKmTAxc90lb4mD5JESdN02oFWzbY61jbtO6aF/rgEbzifvcDnaQ5eszKgj2nlnpXonWWqyU7q21rGCKzjTlQ/vGqjYcdG3l1sjn85iYmMDy8jJyuRy63W68ihjVES5JqRHmAQEBBwt7MiqbLzfmMB4Ohzh58iQqlY0cvEoAfAEymMmSB6HHWR8hicPK2HaFIZbL/dYi1bqrRUTrWJODqIWpBMKyKXlq3a2sqy//XC6HcrmcSIepFqX60inLsxwOGDh/WMtWq9xHnD5rUftBo5ctfOSlgyi1slkHvWc+olRrmRHiq6urielltt8JHRxxIKEBcayX3gv9s1a/7Ze1tTVMTk7ivvvuw+HDh5HJZBJxBPTLp/VXQEDAwcCes5jVH1qr1eJ5vceOHUtMrbFSoZWPWRZhZWvrg+WLcTAYJFaLslIws1NtVT7BQCsguSRkFEVxUglfYgkrHVtLWclofX0d3W43kZFMlQN+57QfJTpazz4fr/pZ7VQk+ox1mpf15Vvp32dNKkkCSER3q3zMP26n3KxTpZTQWadut4u5uTmsrKygWq3ixIkTqNfrcZ3S+tOnHOjvgAMOvT/2vtnZArwPzjmMjY2hWq1idnYWL7zwAs6dOxf3AxWQvbKoRUBAwO3HniNmYOPlOj4+HhPx1NQUyuVyIhuUtXYAJF7+PtmXJGRlWLWUNVCHdVEfoSYU8ZEMCVyzPtGics6h1Wqh1WphMBjEsiVzZrNeSobq100bdLBd7K80src+UdZTBxXaDks8OphRy573xRd8pXVkuVqeQuvFwDTtc41et5a6TmdjWaurq7h69SqWlpZQq9XiiGiugaxuBX7mfWE79DfD3OU62OB17fW1PZbkWcbExATe8573oFqt4qWXXoqt+lqthpWVlU33MCAg4GBgz2lmjO6t1WpoNpsol8t4y1vekpAJNcLV+n2tFKvWND/rMRqEpS9S9ZOqNa2+Xmupq9VoZXS1bmmVc15zp9NBq9UCcN1qs4FNvik6SuBKCFoP1l+tN/oytZ1st13xSaHHDwaDeG4x5XkgmVfaN3iyoHyr0dIkQU36offSOReT7FZWLQdBlOjb7TZWVlY2WdhatqbntGqHjSDnfUoLktMBiF0Yg4ObXC6HBx98EPfdd198fc7VDwgIOJjYk8Rcq9XiDFlvectbcOjQoZiESIJKrvrC9BGiWnrW0lJZVH2iakXy2r40mKwz60EZnten1dXtdtFsNuM82NY/rhIzYcleSUfbrvW3VjE/c840CZmyMK9PsmL6T5KzVR2UdLgak/Y1LU+NZNdBgxKwRj2rL1fbrMqHWqUqt+s11KfOCPhKpYKJiQnU6/VEMJ/9rwMslsN9em90wKHTn/SeK/nb36jeTwalvfWtb8WpU6fiOtRqNQQEBBxM7Ckp2zkXp4ZcWFjA2NgYjh8/npCT1XrSl7aNorVBOnZOLoA4CEqnP5GclfRoZat865uSxeNV2qXVyu1csGJ9fR0LCwsoFovx/Gy1Xn0+ayUiSyQkWpJ+t9uNyVEXsLDJWXRQoT5xzbSlBKNExjWoy+UygOvR29Zvr0qFBkr5BhFWtub6xZYA2ea0ZBzZbBYTExNx7u7Dhw+j0WjEUriuSmb7g/eI/c9kIyyXkeasu53GZSVtvX8+JYJz9B966CEsLy+HALCAgAOOPUXMmUwGjUYj/j4zM4OxsTFvsBW/W7LgNrUG7RQi7ueLUqNv+TK2kiznEnM6DaVtvT4JntJpJrORQIKyK5epJKE0Go3EAhVKNCqjqoRr5VL9PxwOUSgUYuuYmbk0ixfbqtOHmLOb3+28bdZBJXb2N/N2cxlL9dezD/X+caCgbdT+o7Vt5Xw9VtusgxMl7Uwmg4mJibhOTHnJtmt2M3Vf8BpaR2vZ26h8ax3rPiV/n7yv+xqNBu666y68+uqraDQaWF5eto9IQEDAAcCeIuZSqYR6vR6/pA4dOhRbMJaEibSAKPVXqnVpiZsyrwb4qFRNkuHLXPdZC4jXWFtbw9LSEjqdDsrlMo4cOYJSqYRCoYBqtYr19fV4zjTP0xc0SZNEoIMEALGvm9vUCmVddc1mDWZif2hUsU2XqeSiUnGv10vUUd0KxGAwiAcv9BHT+rREq+oF75UvyM2SL/21KsHrb0PjEOr1eiK1Jsuy86d9fme91/a3o8f7fnt2EKlt9blCuO/48eOYm5sL85gDAg4w9gwxZzIZjI+PY21tDeVyGfl8HtPT0wCSQTVWelTLBEgSMZBcmMKSs85X5n/nXGxpklh4HK1bOy3Jvrzp1+z3++j1euj3+ygWiwkpXJOZkGhsMJXK4DyP/5lLW3277JO0yGWVs9UC10AwkrGSqdYZwKbsZCRnJU719ZOc2cckVJ9cy+tpIJ/6mPv9/qYBkaoAajXzfuogjPfLF8FPi10HLfp70+llaQNCRm7rgEGP8/ndNdZgfHw8/t0XCoUwbSog4ABizxBzLpdLJBRhsI7vBWkDkoCkLGqPVT+g+mEpUevLm2SoFhmJVSO0CedcIrGJ+mpZJpcuJIGpTM1zVS7VZCdqTanFplK8Jk3RKUWajcsOamwuaz2GBEeC0XN4jCbgUEte/bJqJQNAsVjc1h0BXI/UtpYrj7HT5uz1gI3BAPtRrXYGrLEu1sWh9WDkvO1ntZrtb0GJ25K31s/6mjWuYXZ2Nq5/IOaAgIOHPUXMlHjX1zeWPyRJENvJhTzG91LU/xptbcld58/yjz5YnZ5jA3zW1tYSlmAul8P4+Pgmq5eWrZXk1TLVxCNWotW60oIdDofodDqJ4Cqexxe8BmBpH9qALW2bLnKhCgStUV2jWdul/WajmTXrmL1vKsWrXG8HJ9p/KolH0cYUqStXrmBtbQ1Hjx5NxCzk83k0m00sLy9jdnY24WfWdnOxDx28+YIHeY5VTHxyvN5jrT+P14Hl5ORkHBjYbrc39VVAQMD+xp4h5nq9Hr/08/k8JicnE2ShPkYrD1qS43aClqxKmLRuVH7WFyhTVK6vr6NcLsdWtBIt68PI4TQfIrfpQMBGWGv9fMSlbXHu+mpNg8EA1Wo1jvTWAYNa/fT7WquO7WCdtU80ypzQsvU4X5S6jQBnnbW/oyiKo681SM1asVtdi/8XFxfx4osvYn5+Pr7PXASFxzEK3hdopzI+B0f5fD6Opud+lbTTfMHsy7RIbFU/2FesY7VaxdGjRzE2NobFxcXU30JAQMD+xJ4h5lqtFi8ZODs7i1KpFMuZKrcC2GTp8sWt05v0OH6ntKmRtWrhaOpIDaJSCVZfuHzparCTWpaElWStr5HkyUxglpytVdjv93Hx4kWcO3cOq6ureMc73oETJ04AgHeA4dx1v7kNYtKgLxIPz/X56lWKtXVUP7f2F8lWfcDqb9c0pwodiCmJsVyVf/v9Pq5du4Zut4uxsTFMT0/Ha3irD12jz/V+qURvXQkaH2BjFuwgim3Vtutv0h6v7gYdDE1NTcX3LCAg4GBhzxBzv9+PyXhmZiY1aMsShLVOrXWlL0YlHX0p03pl+epL5UudZZC8tH7Add+ub2qXDVKjf1ivzc++gCi2keRGEq9Wq4mkISR1DmhUUqakrQSgQWaqSBDsP19gFXCdVHSbT3bW8rRP9L9Cz+dAQ329PEbTYvb7fVSrVTzwwAOoVquo1+uJuACtg89FQleK+pF5jWKxGGdmo7Wsg0H1tetgxio7vvYRGjA3HA5RrVbxzne+Ey+++OKm/gkICNjf2BPETIJbX19HtVpFo9HwpqXksYBfUrXHWEJPs6xtXXhtGyjm83NaaVvPVyKxVqzvur6yOWBgX5BIp6am0Gg0Yr8tz2XGNE2IYq/DAYD2Iffxs+aIZjmWRElcvrprf6S1iVBrVP+zfoVCISEpawCWlp3P5zE7O4tKpRLfPyVbnYJmM5bxTwPpGBVeLpfje6ltsglnfL9X647RfiL4W9FBznA4xPHjxzfdv4CAgP2PbdMLOed+xTl31Tn3V7LtnzjnLjjnnhr9fVT2/bRz7mXn3AvOue+50YrQ2jx8+HAiLSMAL5HJ9Ta9+Hz7NO2jypgaxWz91zZ9o57P7fzMBCKc6uWzfJX09E+je60CoKtGcR8JWrOGcYDAwCmVR9UyJtT6tgFNrIsmStEANrZF6+Prd98Ayd4nS/YkPvYfc3frYhY8Tv3y9XodU1NTid8Op6rZwDwOnmy7KXGrH5z1KZfLcbkaTKdEroF32he2X3QgYPtC78etSMt5u57ngICAm8eNWMy/BuB/A/Bps/3noyj657rBOfcggB8E8BCAowC+6Jx7axRF6cw6Ape6m5ycZFmJl3ma305lXmCzlQxg08tS6rspipnXorVM6AvUlsXFCPgyZ3maWpFl8nybIIQWnb0Gl1ZkQBODkKxKoG0l6bAeavXrgITnaftpJZLUrOWv/aHqgw92kEHYaUYsnyRr/bS9Xi/uW15b68WBBwd3lIV5X+w0JZvBzPYjfd6ci84AwHa7HQ982JfAdXmbZfkGIuz/tD7x9RlnAmw1ML0J/Bpuw/McEBBw89jWYo6i6MsAFm6wvI8B+K0oinpRFL0K4GUA79vuJLUCx8bGNr24lID1Ty3OUV0TL0T136oVZuVsHQTwha1zha1sqpIlfbUsg9cslUqxj1NJQQkpzc/KupFU8vk8yuUyisViwhLmsTq1Ry1OLqhBstEpP+wHtpl+dfprSYYkNTvNS61oJSO9ZxpYprAKhJ1G5AuW07axf9nXmUwGi4uLWFpaio/nNbmaF+VwvceWJPV30W63E4MzPddK6TrQsbB9rdut0sA2AxtqxdGjR3Hfffd5y71Z3I7nOSAg4M3hzWTK/7vOuWdG0tjEaNsxAK/LMedH2zbBOfdJ59zXnXNfJ3EUCoVEcI0c67WcbU5nS1r6EtVzeZz6WvnSpQ9TA6Ws3KsWpvU960ubZKCWN7BZcuc2tpv1zGaz8apU3K8JSLT9ljALhUIc5U0rUnNoa/Q5Bzj6WQc5Oq+anzUiWu+R9q2V6VlHDhiUzGyGMyVjXlcHWsB133Qul0Or1cL58+fjdjB9KPuDfUV53ie18zcSRRuR71wNzAadaeCeHbj47rO2xQ4KdOBiBzhWtbnF2LHneQ29W13XgIB9jZsl5l8AcA+AhwFcAvC/vNECoij6VBRF742i6L2ZTHI1JIV+ty9TK2/bF56NfiZsRDbL0zJ0uxKulqd10PopoTFZBa1Ha4Vb61jrtLa2hk6ng16vl1iMg31AclN5Vvo3IbuqTGznKrN9tJT1nDQCARC3jwMq64dW4tIBkrWYlcy1L/UeKKHxHA2Mq1arGA6HsYVsc2FnMhtTqnSpStbB/n7YR81mMyZxuiL02mm/LztItHVPa6vdThXpNmBHn+c8wjSvgIA3g5t66qMousLPzrl/CeAPRl8vADghhx4fbbshaBSxtR70hZXm79TvRCazOUUmZVs7ECDxpQVcsWy+bLnfXlNfyDoVSv3KSla0cK0lT8K1vlC14EjIbJPOxQawaSCgqTzVT6rErm3WclT25neb1Uyn/Og9sBHHqmLY7GJ6H5WcGYim85JZTr1ex8mTJ2MLWQdTbKdGVFtZn9fRhB+9Xg/NZjNhteq9p89b6+/Ls619TmiAnt5f1oUq0lY+/J3CrXqeAwICbg43RczOuSNRFF0aff0EAEZ4fhbAv3bO/Rw2gkVOA/jaduVFURQvV6j5luV6ieAaa5nqZ0vaQHLxBiApgfJcXpvErAToGyToi11fqL7EJeqLBjbPo2Zd+ALX6+iLXhOb6AtbU2eybMq3WheWYWVXJSy14Jn9TAPTNLhM28b7yEEN06v6kofwXI2U9vlgfRY2cJ08GaVdKBRQLBbRaDSwtLSEbreLer0et4lZ0bTt1vpnO6hccJEQ/T2qdW/7kfW12dd0MEaof57frQtGz73V2OnnOSAg4M1hW2J2zv0mgA8CmHLOnQfwjwF80Dn3MIAIwFkAPwYAURQ965z7DIDnAAwA/ET0BiI4OU+1Xq9vWlnISny+F7clap5nfYQAEhYxt3PBem6z5evLk2UrSfkGCmr1AdejsNVXatti5Xq1vLRs9R2rL9da3tYXrvIrrV6Sux0ccT8JRwPWtF80b7aSOJUAtSp1cAUkXQu++6qExTpw0MD+4PSxQqGAs2fPol6v48SJEygWi/F0KQ1g0/vIQQz7V++/7VMlduvG0HLt7822Q8/V66qLxC4ishO4nc9zQMBuwBWLyBSLePW/fRt6d3dx//+0hOGrryG6g5ZS3ZaYoyj6Ic/mX97i+P8ZwP/8RioRRRuLDzC6tlareUkWQCppkfC4D0haImr9KimSXNfX1+P0mxoYpde017G+SiUXHqcvekqdPmlcoecqlND4cqfVaKO9GfhlBxP2+moxciUmldhJRmwT5Wqet7a2FkvkdirR2toaKpUKCoUCut1uTJDWr2yD6+y9psWuxM7+Vx87lZejR4/GAWb0nbMdep80kM1meFPfuN5P6ytmHWzUuv4u9L7Ye8l2WB++vfc7hdvxPAcE7Bay09NY/PQYfumB38DduT9BLVPC89/Zxn/yu38f9/79vwTM87lXsScyfwHXl+njSxTYbDEpGVv5U+Vmez7JQl98+sLlfvXBqsVLWGsIwCZiSbOStU6WhHzH2jK0zsB1n3DaC1yXOlTogECvrTIuBygkWK2rWsY+olGfNY/h9CY7J1cJUu+1z9q0/nnWU/ue53FFKQ5aVHFQkJB17Wu1ZjXBiM3AZu8nr+NTZ3yDjjSwz4GNe1IqlW7ovICAg47s1CFc+9UJPP7OzwC4/tw8UKjgG9//8/jrV/8Bjv9//mL3KvgGsGeI2cq19sVnyZmf0ywNfREqGWqQjubhXl9fTyxwoJKitZitL1TrD8A7aPC1xe4DkJj3bF/sJGxdGpF/tmxGH9dqtU0LVdj6+iRlEhQjr22f8praD9peDrK63W4s3dv51prS0qcO+L5retBCoeBVTtLuDdURlfk1mlwleaoRPjeELdv+Pux1rWpjYV0PlP/HxsZw77334itf+coNE3tAwEHFxf/iPjz17v+fd994poz2yX0kZd8OOOdQr9cBABMTG1MobWQrkPQh63c7HUXLtcFJGrWsL1r6GH2+aJKeEoiVOLWuSm725ay+SCspq7WkliOQXO9YCRm4brVr/WntdTqdhFRrA49YR879tQOV7QjFpjK1xKgETrJjv9kBFvs0bQDBYymfq2uAkrVPDleVQQeAHLCwHHVfaDmU0u19VYtcB0b23unAx7ZHSVmvZ88NCAhIh8vlsPy2tS2POXH3NWQnJrB+ByyluieImUQxPj6OWq0Wv/BUAvRNLbGkBySzctkkFnwBc/qL+k15Db2uRl9r2epjVCLTMpRclIDUeuM+38tXCZqytSYB0TKU9LWvbEAXiYjJXNSPSt8y/bTadz5S1qUwLZFYPzSvresaazt97fdt06lMLNdG2vNcOx3Kys12u7pIdLv9TfBY/X3Y36GWbQeKPuhgTY9bX1/H0tJSsJYDArZB5p5T+OL3/DyA9Pzyj73td/A37/7bwBOBmN8Q7r777jgftMK+HPXlp9KowpI1iTqKotiHytzHwPW5pizTRuPqi9kSrgYzcT8DelgX/a/y61ZThZR0SGrcpsRIiRZIBqSp35eR0dxOn77K/Ixs9hGutlMj2u1UK16HgyBfZLHKvbbNPguZ2ziA0whrn5tACVFJWvtFo7CpNrButgytr9ZHc2Xrb5LH8RhrESv0Wjrgy2Q2pmxdunTJe15AQMB1vPD/rOOe/A0s+pLyHO417AliHg6HmJ2dxeTkpNfy1OhYS2DWp8fz1GJTYudLulqtwjmH1dXVTcdbC1QzbikRWPlVkWYFbiVj68ufZKakzHnW3J42z5UBdDrA0EGEkoa2XQO7FCRaZjFTudYSZz6fR7fbTUSW09rXdJ+KNF+17TP2s20Xr6PBZWlBdGyvnmsHUFon3ceyrDzPud5aZ10kxDcg09+A/X2qzJ9G6AEBAYIb8PhkXQar/2MLtY/c+uq8WewJYs5ms7j33nuRy+XixRMIlTr1JWVlYX1501oDkjKyvkzz+TzGxsbQ7XbR6XQSJGNf7uqTTpMnraTJ73agofW1fknrn+SUI1rKtl+0fT6LTUmA17XytwYbKZRMdREIO1CiX1stTyaL0cEFc1RborKDEv1NaB/zGCVTHajYKHVrfft8xjrfWn8jav1TgtdzeT3WMZ/PJ1wBWm8dWOjgj9dVErbzmTkICggI2BncMz6HK9sftuvYE8Scy+VQr9cTCSN8Lzm+4HwyM3DdirWWqZUyaeVksxtrKLfb7cQ+lThJrpQ/bb18PkgrUavlqPX3+SRJXvT76rxiK6Nq7mabGU3roqDlyzppxLVOK7OZryqVyqagLOtj1UA651y8kATry360qoElUSVdWuksg0SmBKzXtm3W49SyZjnaJpXp+VvwuTD4W9DBgs8yt/BJ+ryuJW62PRBzQMDBw54gZs4ltYFBPkmTL0C1OBVqIdMyIpTYNXqZhOsLMAOuW7i6QpMSrBIwj6M1yZe1+pxZNgnVWrvMatXv9xNts35Oflffsc9KVKue7SHhkVQol+sAQn3KauUq7PV4vI3OVj+und7lG0RwiUuuhsV62jShKitb+Z6wKgGQnDut9bRSuw6KtCxfilgtx7ZLV02zgwkdpHB/LpdDtVoNUnZAwAHEniBmzVBlZU5CX3Y+f6nPWqXVpRYScF0yJClWq1V0u91N5Vi52RKItcZUOtZ62rpqwJpa9RpBTSL3lWGJQEFy0WA066/UPqFVXCgUUKvVkM/nUSqVUC6X0Ww2cfXq1Zi0S6XSpgGGXpdt0HZqv/M43+CLfcjBDKPCNelJFEUxKWsgnPaFnUJmFRZCSZJ9ZQdi+jsgfKSv99/6mvV6aSSr9WB7aTH7IuIDAgKSGLZzWI+GyLr9MZDdE8RsI3f1BbeVlGeJk8fT+tWgLX3RkozslCQeo35hK7HalzbrodYzoYMNPUf92by2+nO1XiQnyrgKHWjo9akS+AKNaIFmMpk4Kr1cLqPRaKBUKqFUKsU5p6empjAYDDA/P49utxv7mbVMa1Gq/E8ZXOeC+wYVtBDp72byF01Iwv7XADXnXCIHtx3M2cEVkEzgovdOI819gwf2qU7lI1Smt0GL9r4r9Pdlrfl8Po9KpYKAgIDt8cA/OocXP9zFA4X98czsCWLudDoJYiQhET7JWl9kSgw8li9KrrQEXJcvGdjkeykCiK0zlmf3W1nXWlX8zuN0gKDXU/8k68T9Op2Hdbd+USV1IEmKlpB5PEmP55TLZUxPT6NSqcRT1VZWVjAcDmNyLhQKWFxcjFUFS5isPxOU2ClglpDUH6uETmuZgVlKXOrGoH/XJzNreb57xzL4xz5RFcMOmlT6X11dTeQnZ119lq1Ot9Lr8x5rIJsSOvevrKzg/Pnzm8oNCAgw6PUwvJHQ7DsEe4KYAXgXAvARHuGbnmQJUV/qtNw4ANAVlLjfZ21ZElaCUxJQWMvbtkOvCVyfEgUgYZHaxTY44NByaJlqas6tpm4xuUqv10OtVsORI0dQqVTi9JlcpnE4HKLZbCKfz6NWqyXImYTEejJQrN/vJ5bSVLeCrY8OtnS/EqbuswTN7TZi3pbnI2a7mpWSvE5zIorFIiqVSqxc6BQ7hbXYrYrCutCatklYrB96fn4eZ8+eRUBAwNYYtjr42Fd+HC//R7+621XZEewZYlbYl7BKhMDW+ZBtGTxGZd8oiuJFHnq9XsJC9vmCtS787FuMQS1EtcZ8JEQZVsmU1qBNc8njoyiK66o+aObF9ln5Sjq8Bol1amoKR44cQbPZRKvVin3JOi+XQWilUglTU1Not9tYWVmJrWNa8QxUK5VK8SBIg7PUQraDHu1fn49W+499RCWEUet6ji1X/ysh6jV1QGGtcfrc2f/2XvtkdKtiqFWsv0Md6Kn1XC6XU+eVBwQEJBGt9VH9Whn4j3a7JjuDPUPMai37rGQbAW2nstgXv/qo1YdIrK2tJSJ/rQRuSc1nxfMzSdQukEDSUl+vtlWlaeu/1Xapv5zXtZ9tNLT2kcrhvH69Xkej0cDa2hq63W48Z9qumxxFEXq9Hvr9PsrlMiqVCorFIprNJprNZpyfWgOotB9VPVCFQu+vb1Cl7bbBfno9OxixgyT+p9ys89tJxjxf60NZP5PZWOGp3W7H9dL0pkqu6mbQAEPCtoPlaR/wPnKBjoCAgJ3D01eOYRYru12NbbEniJn+VRuAo+TI7YT6UIGkdc3v1k+oL04uhKAWKpD0C/pkcQ3qSbNK1V9siZ8vbQ0Y0uhjVQfYbpvhy/opVc7VY6yUzEhnLsNYLpfRbrfRarXQ7/fjecdKrko+nU4nVhqq1Wq8bvbq6ioWFhZii5vt00GNJVG9h75oaW2P9p2Viu390e2W8Fm+qhG0wH39q/e42+3GSzDy3jGxiE0ha6eLaVl6r3icDQKjxfwXf3FnLFEXEHAnYD0a4sj/mMGdMNzdE7HlDBwCNr+sVeZTMlZLWl/QJE2fRaXkyxc9X7ZKgj7isJastUh90jOvq5aPncrF9ukLm5HZKhXTl6y+VNaZ+20UMK+viKKNqG1G/LZaLfR6vYRFzsED66T9vba2hl6vh06nA+ccpqen8fa3vz1eA5nXtgFNet90WhShFialeW2T9jEHMrR4rbvA+omtaqJqi/robX9xsMhgs2w2GwfA6XxqbZt1c2i/29+CbtO6ZrNZ1Ot1vPDCC5vKCQgI2P/YExYzsDmC1Sdn+76rVKovfn3RMYrYgtafWp1Kvjw/zWLzZQLTQQLPV8uRZKP1sVHMPM6+xO2ghde2Oai1znZwwrpUKpWYkDVK3c79Zf1UKVDVYWVlBaVSCTMzM3FQFK9j+8vWT69jpxdxypBVRXyWsCZ8sXKx7Xv2H0lX+1PrZyVl/oY4xUyvxXN97g4tj5/TlB8dyFCNCAgI2Bm87xs/iJkXX7sjLOY9Qcy0EgF/0n6fH5EvN2sdqQxqLWwlxPX1dTSbzTivM6O0NdpYy1OLKI3A9Xj7sveRvVrM2hf2GvZ6vsGAEoNPMeB39WtrIhOVVRUaFKXkogRKWZdl2LzVPivRBuOxjhxkMD2rb9qUDiYIqgnWj83ydfCjObLVfaADHv5xhaxyuRzL/ewzjYuwknwaeK6Vr7VPOOC7ePHituUFBARswA2xZZKRhfMNTK2+eJtrdXPYM1I2A22ApMVlSZmf9bsNsgI2WyZqVVGWjKIo8aLVF6u1kq2s7bN+0yw6SrQkD8qjat3rOVYW17J10MFjtb0kWZ7D/tEkJt1uF81mM14whP2hErMlD0rbup99ykApHfxYBYT3R0nYpxoQ3W4Xq6uriehvHXBoGZbg7EBK9wNIuAR0IKHZxDhoYb0HgwEWFxfR6/U2uQ7svfKBgz4bcKbt4v5SqYRCoYCVlb0fpBIQsFdw9Nf/Cv/w6rt3uxo7gj1hMQNIyM0qP1pCBjZLq4SSYppcSAuPRNDr9RKZsuw0Fl5XA9B8pMmXdaFQ2CRD8yVu/cq0BtWaZXlpUr6VmPmfL3dNROKTx5lZi0RkLT0NSCPJMoJZ74H6ZnWxCg1+U7+uJUnbLgDxlCtdd5k+3WKxmOhrG2zH//a+6DV9AX78roMunqsDP87ztn5xe7985+u11KrX3yXrwSjwS5cuodlsIiAg4MawvrKCbyycAA4/tWnfb6wewulP9zaftEexrcXsnDvhnHvMOfecc+5Z59xPjrZPOue+4Jx7afR/YrTdOef+hXPuZefcM865GxrCnDt3bpMUaH1ztCqsTKyWnlq6KpsqoWQyGRSLxXhOsBKinQ+s6UL54uRLlddUCVIzcVn5mVOSWJa+0NMikNXyY5kkcSuBcrsGcuk5wHXfLS1ClXFVVqfkq/2q1jLbACCxOhehPmI7oPK5CtSVodKzJj7x+dJ1QMPybNS87tN7oSTP8nQ/6zoYDLC6uprq81Xlw8L+Dlm+b1DAfiuVSnj66aextLTkvd6bwe16ngMCdgPuH016t//8z/4A3H94+jbX5uZxI1L2AMA/iKLoQQDfBuAnnHMPAvgpAH8aRdFpAH86+g4A3wvg9OjvkwB+4UYqcubMmQTJWSuEL3gSikbRcpqOjVrW85X01aLkC5OWnw0+U5+zlZGV3JQEdI6ryux6Ha6k5SNnlqGZoVgn9c2SqHRVLn35q7TNQCYSLn2kShA22pnbdRv/1PJmdDIlWLtus0IlZPXN6nb1F7uRG6Db7aLb7cYR2zyeCUb0ftpBj/6GrAWvaoYOnmjtM9MXrXkrweu98W1n32n+b7239jfKqWhXrtyyVWNvy/McELAbyC118HutWmLbj51/BLVLg5Qz9ia2JeYoii5FUfSN0edVAM8DOAbgYwB+fXTYrwP4+OjzxwB8OtrAVwE0nHNHtrsOM0oR+hLVbdb/qhKunYLD/Rq0Y8uzxKb+Va2HWrEaQKWSu/qBlRSsZUZyphSs0qz6n5WAdLDB8nQgowMBWrfA9cA6vY4qASRels02s0z+Z/0Y5KX9oPWxUj2PtQMbnQKn0rK2k2UAG0pHr9dDu91Gu92O7ynP0fzaABLXtZaz3n/fPabvfTgcxta67Rv7G7P3nb9HvZYqMnqv9LeXy+VQq9Xwta99bdN1dgK363kOCNgNrD/3Iv7BH/yXOLPWxFq0jj/rZPD6/+UIin/4+G5X7Q3hDfmYnXOnALwLwF8COBxF0aXRrssADo8+HwPwupx2frTtErYASZNzRn3BNdYHbbfxv5IzX4jM42ylWJV4bTQxU0qS+NMscELJiW0iodAa43UtATALGcux1rS+5JV0dcCh1inbQSlWiYNkbaOT1YJWa47n+ObnqmXM4xhEZedG6/21ZduBmMrsrI9mE+NvhMpJGqy8rFI4+4VTp1h3touDF7YnbeCnBK/9ofeAZdrfjroSOL+8XC5jfn5+y3btBG7l8xwQsFs4/d99A5/8g5/EuY8UcPqfPINh65XdrtIbxg0Ts3OuBuB3APy9KIpWjNUaOefe0PQw59wnsSGNAdiwmBcWFlCr1WLZcHRc/DnNerQ+VB6rpKD+SCVQEhLL7Pf78UpLOh1Go2dZjh00qJ/R5zOW/toUwKTWnioDPE7n3bJ8SuLadivj0/JkWWqt0qqjbMvr2DnNVr6lHM7PSviUti3J67HaL77+1Daqpa39pzm41dL2KRYak2DvA3A9Spv/OXdZyy0Wi5vaal0v1nfMGAb9jdjfkd7rTCaDsbExrK6u4vLly7iVuJXPcwn7Y+m9gDsT0VofuT99Avf8KXCnrmZ+Q8TsnMtj4yH+jSiK/s1o8xXn3JEoii6NpK2ro+0XAJyQ04+PtiUQRdGnAHxqVH40GAzQarUSEdcW+qIcnbfJAlELU1/WnNIzHA4TEeC0vADEiyLQX+2zkEgiVu72EaIvWxePB5LWPi1zlZb12notHq/LDyrpqHTsk1nVkiM5aypNtfzYFo021/pzoQX6mTXwTS1g332zZVnrVu+vSsAANtVFB2FWRbH9rtByOB9bl3HU+e3qAlBVh/W3bhZVSHTgwXP1HF5jbGwM//bf/lvv73+ncKuf5zE3eSfkcAgI2LO4kahsB+CXATwfRdHPya7PAvjh0ecfBvD7sv3vuA18G4Blkci2xCuvvLIpkAdIn66kL2bAP2dWZU/15Vkri9tzuRx6vd6mqTD6UtWXq0q4NsjL54PV+imiKIpXdrLnal0ojVufudZT6yv3MSY/EjpJrFAobLLWrSzuywetCy3YVZ5Yvq9+dqCix+q9HQwGCetbrXn6r5WI9Xx+3kpx0Xtl02/y2up/1vuq/aD+bG2rXlevryqEkjJnCnzzm9/c1D87hdv5PAcEBNwcbsRi/hsA/jaAbzrnnhpt+4cAfgbAZ5xzPwrgHIAfGO37QwAfBfAygDaAH7nRyly+fBmDwQD5fH6TFGpfeva7z2K1L2VaRfSvKiGT/Cjpsh6ETuNRideXz5k+SU1SwTqQXNXS5zYe2+/3kc/n4+lGWncuw0gpl/VO83lbaZjE0ul04rScVBBISnbQwmv7ArZUDmadtP999yvtPlky43brR9br+KzgtLgDn0Wu11HJn/eCgxZe08ry6kdXFcKC+1S61n0cIK2vr+P8+fObzt9B3LbnOSAg4OawLTFHUfTnANJSG33Ic3wE4CdupjKdTgcLCwuYmZnxWm4+qCwqddhELLqPQT9axvr6ekzWXDWIlhlwnSgobZLAfFYZX+w+f6aVunltXp/14xQh1oHlanYqBdusErtaqErcOgWoUqkkyFYHIEr6mrqTgwYA6PV6aLVaaDabcXS7KhKWDC1B+ohVrVTbPitds88VGkegx1rC1IFfoVCIFQB1E9ClwX6z86jtNViu/e1qe/R3w9iCXC6HiYkJRFGEubm5TX2yU7idz3NAQMDNYc9k/gI2XlgLCws4fPhwQr628qy+3C3p+vyyLJsvTPpDaSlyIQuSD8tlmlANUNJrawSuT6a2Urz1LQPJtZnVz6wky+xXJHPbZ9oXOvCwJEYyZR92u91YPaD13Ol0ErKtko9O56lWqxgOh3GGKtadvmq9J/a+pMEOsKzLwkfiPslXBxk2gE1dG9zPKWAkXqolKmFr2bYediDI+6LgwMvOTefnXC6H6elp/OEf/mHI+BUQcMCxp4g5iiKcO3cODz74YMLiUKuY/zVi1xKeEoEtw8qwJDJ+VguGSxwyIlfLsj5ZtbRsEhSfZcWy1BrW7QAS8raVjlmWTx2wL372EWV6ALFFSJ91p9NBq9VKtEfrotdvNptYWVlBLpeLl43kIg+2jhzUaBpUwg5WrMvCR8Tcp1anHqfWuvWTs70Es2wVi8X4eCVmvZZPpdA+VrAOOqDxSdice10sFlEqlVCtVvHoo4+mXicgIOBgYE8RMwBcunQJS0tLqFarm/Ypsfj8eGpRA9hEaPpijEZBUPyuvkSSM6OV19bWUCgUNi1AwP8qd+p+nxRv5W+St1rjGulr/dO8hkZQE9bi1D7RpCXcrktdsp2U0225GtjW7XaxtrYWW83sN9aZ/lKNYPZFsPN+6jYdSKjFq23xZUTTAZuVwK0PmNdWS5luCi4Fqn2zVbyD9hG36X3R+tvBhKotjUYD165d86Y3DQgIOFjYc8S8urqK+fl5jI+PJwJsgKT1q/DJiGkvUJv0Qi1EkjEJhVI3CZw+SHs9lUjT6phGmirTKsEQJD0dVFjLkwSXJhszgpqR0ywrijamQR06dAjFYhFLS0uYm5vzBldp9HG9Xkc2m0W/309YlOw/lWcZ2axt1sGSb9lOHq9Tr3xWqG+Q5ptGZdUGKiJMUarSvfrWbb31v69sa737yFzvDaPA8/k8Dh06hGeffTZe0zogIODgYs8R83A4xIsvvojTp0/HL0sLn3+Z222QkC/CmNaKnk/SYrAXyYl+Qcq0mjRCg3n4X+XntMA1JQjfy5911Whv20f2uw5G9DyN7lZrkwOUSqWCWq2Go0ePolKpYHl5OWH16SCgWq2iUCjgyJEjGAwGmJ+fTxyjddUIbvalla7VF2/dEuwDXx/b2AEF1QFrRStIiKwPg+oGgwFKpVJ8/7UuNhjNXt8nZ6u1rQlkWB7vR7FYRKFQwG//9m9vKZkHBAQcDOw5YgaAa9euxdaWvuCAzb5HRgxzH3D9Jerzdap1p5Yz/zQrlpVXaSEq6aglpVOnfOkotSxfMJQlNx6v0PZyvyUetSpVltVBB8+pVCrxNB1O07IDGxI8CXh+fh61Wi2ed8tc0uwTtZptJjbW3SbnsH3gI26fNWrdFr7AOv1dcPEN9psGfWlil2w2Gy9n6bv+duD914GQWvgc0OTzeTQaDczPz+OZZ5654fIDAgL2L/YkMTebTZw9exbHjx+PX5oaIauEmRYxa8kb2Lz+LmEDkjQojNYOI7f5p3InX7qaZEPlZa2frZtaupagfERg26vtUzCwqFAoJPzXNtK6UCigWCxicXER5XIZx48fx/LyMhYWFmJ/Z6VSwdjYWOz318FIsViMFx+xLgLrLyfh6UpNWp72j7ZfrW0dcKnyYO+xgm4IZvVSRWM4vL46Fv3iHPzYaylB++6lvaa1kDXCn/XO5XI4evQo/uzP/ixVYQkICDhY2JPE3O/3ce7cOczOziZeoMBmKVOjcAH/1BVut+coeCylc8qdmoXL+jetFah18JVv5XNbR7vdkpMlA187AMSETAlbiUaPod+YK2y12+142k61WsXFixcRRRFmZmYSgWkTExPo9XrxNrWQNSaAAVaMUuc2ytscdKlc7usf63+3/aB5zQneK11uUQcCGqXtnEOxWIzvD4nad094fpoVbX+bVlnhQI+/r3K5jLW1NfzBH/zBpusFBAQcTOxJYo6iCI8//jje9a53xeQCwEtslpysNc0XoUrVaoHRslWrkqDVyXWAi8UiisViTNjA9YxXSiCElmlf5DZAbauAtTRrMM1HS2JmGSReWy/OZW6323DOYXV1FVEUoV6vo1Ao4OTJk3FfttttDAYDdLvdeIqPWqyaF5rXLBQKGBsbi+Xu5eXlmPR0cKGKwVbBc/xvl53UaWnad3ZwwkEDBwO8b/r7sPEIvvviI2j+t4qJDmj4nb9JJhU5c+YMXnjhBQQEBAQAe5SYgQ3yOHPmDB566KHYP+qLjAU2zxvVKToaseuLBtYoXr6E1R+dyWRQKpVicstmsyiXywkfOHDd0rbybZof1RKyJV+to1rnPihpcV4uiTeTyaDT6SRUByW11dVVlEqlhELQarXQ7XY3TTWjHMu1pEn2ajFrJDX3ZTIZVKtV5HI5rK6uotVqxecqmfn6xZItSXCrIKl8Pp+QrjnVjRnPOJCwAzolULor0gZFOhDTeuucZUv0tN7Zl4VCAcePH8djjz22KRd5QEDAwcWeJeYoinDx4kW8/e1vj6XKrSRivqytRaPl+aRhtXL1hWpXeyJJ9no9FAoFTExMoFQqYTAYoN1ux/mrlaBZnrXq1cJKk0etNaaWqMrT6l+lv7hQKKBWq20KjLPWahRF6Ha7mJ+fjwc+JDFax5R5ubhHp9OJs4ORnHV+uQ5E+v0+ms0mqtVqHDjHqVb0S9u52BqYZ/3zGkXNa+jARqdBcV1jHaBcu3YtMSDgn+Y0Z10YCMbr2N8mobEGvt+eBsVpeQz6yufz+NKXvoSAgIAAYs8SMwBcuXIFrVYrlk1VdlTC8UmgWwUDKdHZF6da2wASwVK0DFdXV5HNZjE9PY3hcIhqtYpOp4OVlZVE4BhhrUi1zgglWCV1G/RkpXiWSVIeHx9HuVxOlK/SNa18JlSJoiiuN+dwHz58GKVSKTEHud1u49q1a3FZnALFKG6ViRkJzkAvTkFi9DYHDhzQ6Pl2oKR9ZvtH28UAvWq1iomJidgFUSqVkMlkcP78ebTb7cQATtNypgWbbfUb0n0+/7UugsJjdO7yzMwM/uRP/gQXLmxaRTEgIOAAY08T87Vr1/DUU0/hkUceSfhL06JX1crUqFp96fI4/lfSs/voC1QZm2TB+b6zs7NYX19HpVJBvV7H8vIyms3mJgsa2BxRbaVpazHbgC2fta/R1/V6HblcDu12O5ZKdYlI9XFqGlK95nA4RKvVQr1ejy07YCPxC1eiApKpREm4PlWg1+uh3W7H5fEY+sAzmUwimt0nL2tfqfXK9jDX9/T0NMrlcuwPr9fr6Ha7uHDhAprNZsLaZt/6Vo1S6ICPf6oQsE4c5HC/9reeC2xY2fV6HVNTU/jKV74S5i4HBAQksKeJGdhYo/mRRx4B4Ldc1DLWFyZf6laGtFaQWmf6n/uUWNWXvb6+jqWlJQwGAxw9ehTFYhG9Xg9TU1MYGxvD/Pw82u12bF36JHgdEGhbrEWsVqRup9VL6ZYpRGmVckChfWT98JwmRKLN5/Po9/vodDqxnNvtdmNStgMYG8Gsvnt+brVayGQyKJfLiWlntB6dc7HEbKdQ2aAy9cez3vV6HRMTExgMBlhYWIjnZs/NzWFxcTGej8x+ZJ0tafoGAb4BnZ7rs67Vz2zL5UDi0KFD+Pf//t/jscceQ0BAQIBizxPz0tISzp49i1OnTiX8jNb/qn5oIBk8ZZFmIfEl61uijyTI75wG1Gw28eqrr2JmZgaNRiNO33nkyBEsLS1haWkplnhpRak1b9uiVpdK3vbFTtLM5/OxD5g5vRnwRcuR5dHC7vf7m+bpWou12WyiXq9jOBzGPmWti62zyskEtw2HQ6ysrGB1dTWObLdTz9Snq2WrVK79T0WgUqmgUqmg3+8jl8thfHwc7XYbV69ejZULTa1qc3rrPbYDJasAKDiw0QAx+7uycQaZTCZ2N8zOzuKXfumXtvztBwQEHEzseWLu9/v4xje+gaNHjyYWkSCsxUvYqU+WRHiuEnnaPr7U1R9JIqG1d/nyZaysrGBqagr5fB7dbjeORF5aWoqlcF13mXJ1mvXOa/O/ZozSdg2HG0ky6CPu9Xqx5awEwnOLxWLct1zfWS08567P5WUdKctrakn2CYOsrE9Y/xcKBfT7fbRaLXQ6ndgPrcco8Wo/cEDBevJP14UGNvzgXO2KJMzfgcrlaunqday64vud6X3hYEv7Tu+LxiYw9Wa5XMahQ4ewvLyMb33rW6nXCwgIOLjY88QMAK+99locRETCUYtvO1laSdYGeRFqtWkwkA1K0nJoDfLYTqeDCxcuoF6vY2xsLCaZWq0WE4Zd41f9nkpmKt0q4amfUutHggWuk7iCZWqfMD0liZeLOgDXfbDcpxagTilixLpandoWJS7OKSZpqjWp9bV+XZajc4Q5QOj3+2i324kpYaw7SZk+dR/h+3zjCtv/1srmYEIlbJ7HNnPqVqFQQLlcxtjYGD796U/jypUrCAgICLC4I4g5iiI89thj+Jt/8296LUYlG/UJ26AvfcnzO4+h5aUZqqwcrv7iXq8Xk5KSEGXbTqeDQqEQkx0JSP2dLFO/2896bYKDAfpldYDC6/nyaduBBdutUdasq1rzKlVzn5Kplblt/ytha5Yu3a9uCVUm9LN+X19fj6VquhrYTraHbbKWsEZjq9vA9r0Gq7G+Or2LRMwBHdtDVwP7i+t6s37PPPMMPve5z226xwEBAQHAHULMADA3N4eVlRVMTk4mloHki9hKjUA62SnZKnnbOb7cxvMt8SiZWRLqdruJucBaDxKL+h6BzeTLujrnYhlZLXslIJKERo77iJF1UKIjkUfRRu5rDj6Y09r63tMI1adM2IEHg8Js8JcGpqlvWetrVQoOnKIoiiPD1UVg66FWLvdZedzee2shEyxP121mQhO6KjqdTizdc0B2/PhxPP7442Hd5YCAgFTcMcS8tLSEJ598Eh/60Ic2SZJKztbK4XEaQKVzT1V61RezkpdPEteXNwmCRGMlX7UCSXpaF5VcrY/VEpCSCgcY1jerC2hoWVqe1hEAisVigqB1kKBpS3W1JGvNKtFb+d1Gy7NN1s9LWAvcN7DSxShYX5ue0zeFS8u0Vr+935puVaHlkozz+Xwcrd9qtbC8vIzFxUU0m00MBgNMTEwgm83i61//OgICAgLScMcQMwC88MILeOc734mpqSkASMi1ar1YYlb50U5tsZaakjKw2U/NY62lxZe4ThNiwJIGTWkQk4+YSOK2bIUSMKVSPU6Dqexgg9B80zowYHAa116Oogjj4+NxdLmVf60V6Qugsn2q5K71tG3V+0jpXKPHdfDBvte22/ppffS3YPvaKhx2sKf11RW8lpaWsLq6irm5OVy6dAnLy8tx/9ZqNYyPj+Pxxx9Ht9vdVKeAgIAAIj0MdQTn3Ann3GPOueecc886535ytP2fOOcuOOeeGv19VM75aefcy865F5xz37NTle12u3jppZc2WVEqpQLXV05SiThtbqklLxt0JW2Kz1Ny8pGRRjFrPQhd6cjK2bS8LVH5fKAawMbr+BKw+MrQICnrfwaAsbGxRDYt51wc2azWJaF5vbVMOw2L/aZyvB6rKU21b9SnraoDsBEdzqBA3lNr/bJMa8lzu+0HO8BTwifZMqir0+ngypUrOHPmDF588UW89tpruHz5Mtrtdhy5zmlc586dw25hLz3LAQEB6bgRi3kA4B9EUfQN51wdwBPOuS+M9v18FEX/XA92zj0I4AcBPATgKIAvOufeGkXRm05vFEURvv71r+Oee+6JrebRNWM/K7/ri1YlXJKXDSCzpMzr6bUJS7QqjSsBcTqNBgfRWmawmSVRAPHUKr2utebUl0rS8vmq+V3ziCvp2wxVw+EQ3W43nnOcyWTiRCrq37Zyt/abtXx1MGOjuXmcBt35yuMxLIeDH586oOfovdH6KEGnWdY+lSWT2VjUhMrH4uIirly5gvPnz+Pq1aubcqVzaceZmRl89atfTQQn7gL2zLMcEBCQjm2JOYqiSwAujT6vOueeB3Bsi1M+BuC3oijqAXjVOfcygPcB+A87UF/0+308++yz+MAHPpAIRtIgHWvJkgxGbUhYd/pfYeVjIEmO1gfKcmxdACQsZx0wqDWo5EgiVeLif82Qleaf9UVH8zjfdg3A4vZr167FvtNer+cNstMBTtqUMv2spKSJPhTqCtC2a19ai9m2x9dulc3VdaHHWllefxe8f5zy1Ww2ce3aNZw/fx4XL16Ml8zkuey7YrGI6elpLC0t7fr0qL32LAcEBPixrZStcM6dAvAuAH852vR3nXPPOOd+xTk3Mdp2DMDrctp5bP3wv2F885vfjCVBlTn5BySDeaT+XivIJ2kr1MJSXyz3qaScRk70gVLK1bIBbBosqPXOgYXuY13teVonzYetpKtWsw4i+v1+Isc3V5Ni3XWpR+1T33+WaeuhUB9/NptNJB3RtnPec7fb3ZS602fpsp1K7NaC1nN991steErWXFf6ypUrePnll/Hcc8/hzJkzsaJg3SPZbBbVahXlchnf+MY3vAPA3cJeeZYDAgI244aJ2TlXA/A7AP5eFEUrAH4BwD0AHsbGKPx/eSMXds590jn3defcGw5RXVtbw7e+9a04V7LKsJr+0i4VaeVefrdkOqpfgvStPKvkqMfoNmuxr6+vx9m2uJ3JQWgFqhWtdVDJWa1Mm+6TBMGBRxRdn++s+3h9Dho0W5i1dPX/2tpavCIU26vrMbNckrsmKuE+9o8mdFGZWuvU7XbjPtOAL7vwg62zHWxpPXWQYyVttoupTjW72NLSEl577TU8//zz+OY3v4nz588nArn0N5TNZlEqlXDkyBG8/vrrWF5eTvs533bs9LM8KjN+ntfQ28nqBgQcONxQVLZzLo+NB/k3oij6NwAQRdEV2f8vAfzB6OsFACfk9OOjbQlEUfQpAJ8anb9ZN94GL730Ep555hk89NBDLC8htfqIVMnBSpVKqD7rk8fYCG5Co7R5DY36tecxklqjjd0owEqnQZFU1TK2Pm07SLA+dQDxnGS9LutNotV+4wCAn7VPGGyl04S0XayHHehYaVotTA5QlHh5nI0HYPlallUOlJDtgInnpR3PfONcl3pxcRELCwu4evUqLly4gJWVlU1z2NVKZqR2o9HA6uoqXnrpJewV3IpneVRG/DyPuck3/DwHBARcx7bE7DbeWL8M4Pkoin5Oth8Z+awA4BMA/mr0+bMA/rVz7uewETByGsDXdrTW2HihfvWrX8Xdd9+NSqWSWGLRJ1vaead2Xi1f3kqo3K9kp1Yd/dU+f7QNMLIWmsrfKufaqUPMlKUSL327tmwSqE8ytT5eLUsHNT4fuW2XlkeJWa9v04FqX2ufAtiU09v2n9ZF+0VJkT5ktdrtwMynAGiZjJSnVb22thYntVlYWMDFixexsLAQJzJRwtfBF//K5TImJyfx+OOPx8lFdht79VkOCAhI4kYs5r8B4G8D+KZz7qnRtn8I4Ieccw8DiACcBfBjABBF0bPOuc8AeA4bUaA/Ed2iKM7FxUU88cQT+PCHPxwvLagBVoDfArZpOy3JWXmT21mewuc3tdBz1fetBK1+ZJIMg7JU8tXyNfjK+p9ZL5W5rZ9Zg5UIJTvfvPCtfLo8TvNrK1g3TU7i60f1CStBW9+9ErVaxD5/th6j9aGFyyjxbreLhYUFrKysYGVlBdeuXcPc3Bw6nY6X/PlfyyoWizh06BBef/11zM3Neftrl7Bnn+WAgIDrcD5r77ZX4iakbKJcLuPjH/847r333thPSjIC/ERpoSThIwUr8yqpShtSz1X51FpyOiCwU36A63Oy1YJW692Xe1rJX+c1qyycVldLzAA2+XN5jtZft9k+0f1W4rbH6/Wsa8JXb3uur3/tIEjJmDJ8u92OCbnVamFpaQnXrl2Ll8701ZWETIubgWIzMzOoVqv46le/ik6n423rm8ATURS9d6cL3UmMucno/e5Du12NgIA9jy9Gj3qf5zsq85cPnU4HX/rSl3Dy5EmUy+V46UNdbcmSnUrWQJJ4rFxtX/hKLj4yUCvUR36+qUw+vzA/q0QPXA9gU5nbDhw04MpHXlZC1/3aDn5W8k+DrYO22Vf+VgMezfCl+7VfVNXQtui0Lt890fzcmUwGrVYL8/PzWFxcRLfbxfLyMhYWFtBsNmN/uf0tEOp24FSqarWKEydO4M///M9vBSkHBAQcANzxxAwAV65cwaOPPorv+I7vwOTkZGLajSUnQsnJR2ZqYSmh8hifpWjlVP3Mfb5UltbSTfON22OVOHzQ6/gUAb2mhSoCJDS7YpU93ldGWtk2GI/XseWlJTFhWzRAzV5Ty9CUqM459Ho9LCwsxGk0ScjM1qX9ZZUMrZP1Kx8/fhyvvvoqrl69uqndAQEBATeCfUHMAHD27Fnk83nMzMyg0Wig0WigXC4nrCNaoPritnOgVfbVKVeEkhqw2Sr0HauwVpzPGtNtSpBp1qjd5jtH/bHcrv50H6ERljh9Ue1WBtfj0sjZWsa+433tTJOt7Tm8pzaoi1L1/Pw8FhYWMD8/j2az6V3Aw/aLkr1aypwaxQQ4e8FFFBAQcGdi3xDz+vo6zpw5g263i9deew1RtLGEYaVSQbVaxeTkJEqlEnq9Xmypca6qzlflVBnN8kQ52c4DtgRmfc/W32sJxUcsJDyf7K3n2mv66qP7rWVsg9z0fEu6PiLWueG8jo1mTyNqLcM3GEjrH187fMeoD1kDzjqdDpaWlnD16lVcuXIFV65cQbfb3SR7s14+C14t6Gw2i2KxiGq1iuPHj+Pee+/F7/3e7+2ZKOyAgIA7E/uGmAHEiTpOnTqFubk5LC8vY3V1FZOTkygUCnjllVewuLiYCAIqFAqoVqs4dOgQJicnUavVEi/7fD6PWq2GYrGIQqEQJ82wyUts4g+fT5nkZq1mC56rMq0leB+hWpLejux8PlMbvW0JSusIJAO1rORtZXi1htX/b8nWR7z2OF87OKiipcw52u12G0tLS5ibm8OVK1cwPz+Pbre76V6oz1jrodYxv5dKJYyPj2NychKnTp3Ce9/7Xvzsz/4sLl++vKmvAgICAt4I9hUxA8CFCxcwOzuLD3zgAzhz5gwWFxcxGAzQbrexvLwcW0jAxgu20+lgeXkZly9fjkl6amoKhw4dislmZWUF5XIZExMTMUFrdiuVv4HrErm1rG1Ak52bC/h9mkruvuN1+lFa0JkvEErP0axaPnJPk9tZlk77slHuPrVArWdf/ax87Ls+LWP1IQ+HGyk8V1ZWsLq6ilarhYWFBVy+fDlx/+2gyZK+Xlsl63K5jLGxMdTrdRQKBczOzuJ973sfnnzyyeBXDggI2BHsO2KOogjf+ta38Pa3vx3vf//78fTTT+PFF18EABw6dCiO2KYPWS24wWAQR+mWy2U0Go146svKykpM+rTAKZcqSbMO1v+qZKDk6cuQ5SMvIDlH1+dntUS3laxMQgf8krKPCG0/64DDDhS0LT453vrlfeVbtcH6ddXC7Xa7aLfbWFlZQafTwerqKhYXF2P/sQ2UU3eBzn/nflrdHIhVq9V4jepisYhGo4GTJ0/iwQcfxHPPPYdf+7VfC37lgICAHcEdP485DTMzM/jxH/9xZDIZPPvss3jhhRdQKBQAAM1mE8vLy+j1epsWWFCCyGazqNVqaDQasUxaKpVQLpdRKBTifaVSKY62JsGT9H2BQ9ZSTpOXfb7sNBJLK8Na5jbZiT2eUCtUZXT98yUs8Q0AtmuDDjZ8/aVBXLrsJC3jZrOJdruNdrsdB3atrKwkFr2wbUuzjnO5HEqlEur1Omq1WmyFU7qemZnB9PQ0isUinHM4e/YsPve5z2F+fn7TdW4RwjzmgIB9grR5zPuWmJ1zOHbsGL79278djUYDg8EA165dw9LSEvr9PobDjXWHmVBC8zRbi5SWWaFQQKFQiOXMSqWCQqGAsbExjI+Pxy9yvsyZ/9kGXQFJ69dn6fr8yWn+VXsP1S9t96dZ29pWJUJL6GwD66e+dt/17HV9Er6StPpxtR4sY319Ha1WC6urq2g2m2g2m+h0Omg2m1haWkKz2UzksU6rj1riXHCiXC6jXq/H5J/JZFCtVnH48GEcPnwY+XwerVYL165dQ7/fx+rqKr7+9a9jdXXV+xu8RQjEHBCwT7BvE4ykIYoinD9/Hn/yJ3+C48ePo9FoYHZ2FnfddRcGgwEWFhawurqKUqmEKIri5BLtdjuxehJwPVCJkb2rq6uYm5uLCbrZbGJxcRG1Wg31eh31eh2lUileLpB+6CiKEp99lmWahJxG4mpV67G+iG4gOeXJQqOZLXlbyT2XyyXq4yNqhRIh/1tJnySpx3E1q2azidXVVXS73YRsvby8jGazGS/SobK+7VNL+uVyGbVaLVY86LeuVCqYnp7GzMxMTMavvvoqrly5glarhVKphOnpaTz11FO3m5QDAgIOAPYtMRMLCwuIoghLS0s4e/YsyuVybAFNTU2h1+vF0dvlchnD4RDtdhudTgetVmvT1BeVq2k1Xb16FdVqFePj46jX6xgfH8fY2BhqtRrK5XLsDx0OhzGhqZXJvNLq79brWRK3Vrcld2DrOc/WatZpRTr9CUCcQU0TaZC42R4lYV8EtwWvz2uxLvT/k3x9fyRoDqCY7MVnIetghfWmC6JarcZknM/nUa/XMTExgUOHDqFQKKDVauG1117DxYsXsbS0FK/6NTY2hsnJSXzzm9/E4uLitm0NCAgIeKPY98QcRVH8Ai2Xy1hYWMDi4iJeeeUVjI+P4+jRozh06BCmp6djabtcLmN9fT1eC5gWWrfbTVi8AGJJvNfrYWlpKeF7rtfraDQaGB8fR6VSiedLWxJWstYAMp/vWzOQ+cg6LXjLWtskJcq2QHIBjJWVFVy6dAmXL19Gt9tFsVjE2NhYPOBge0jSJNl8Pp9YXMNGP3MQMhwOY2Lt9Xro9/uJ/1yLmX1PP7KqDQq9Hv/TSlb3A9dWVpLlHPd2u40LFy7EK0nxegwCq9VqmJmZwfPPP4/z58/f9G8yICAgYCvse2IGNkip2WzG1uva2locKHTp0iUUi0VMTEzgxIkTmJmZQTabRavVwvLyMjqdTkzGlMAXFxcTlhpJUElmfn4e+XwelUol9kGTrKvVapyVLJvNIp/Px8TKADWbgUzbQrKwlqqVrkm+QDJCWv3mNkq70+ngwoULeP7557GwsBDXgcfT6qxUKrEUXK/X4+9Mh6pSMqcwsW84h5j9R4LmnGPeGxu85UuKYlUDbR8HRuVyGcD1QdD09DSOHz+OYrGI5eVlnDt3DhcuXMDS0lJiFSlK3vl8Ph7EPfPMM7hwwbskcUBAQMCOYN8Gf/nA5fic28iVrFOmNCJ3YmIChw8fjqdKdbtdLC0todVqYX19HQsLC5ibm4vLALZOtakv+Gq1GpMZLWn6o+nrpK9X7w0X59CyVdK2c5B5jiYAIZSMKR0vLy/HCTiWlpZQLBbjyGRKzDyX11MpmvVWXy7B6+iUMioSnU4nVibsSlg+HznL00EG68C/Wq2G2dlZVCoVDIdD5PN5NBoNjI2NIZfLYXl5GVevXsXVq1fj6G2d4qVpPEulEhqNBo4fP44nnngCly9f3u1pUSH4KyBgn+DABX/50Ov1MDc3h8OHD8fpOZXgGGjEOcvFYhHj4+MxSR8+fBiDwQBHjhxBp9PB1atXce3atTj4SCVWjVAm4QwGA3S7XczNzcVEzbShY2NjqFarqFQqcbQ304Ta9JJcqlAtYs0SBmxOmal1YDs7nc6mIKrBYIBCoYB6vY7hcIhms4lMJoMrV67E/mbftCggSY72GLuoCKPgfYt0sN6+BCxpCgDrzOlMlUoltt77/T6Wlpbw7LPPYnFxEc1mM5FoxleuJeWnn356L5ByQEDAAcCBImYA6Pf7uHr1Ko4dOwZg40VsVxNyzsXBXc1mM5a7K5UKJiYmYpI+efIkstksVlZWMDc3h6tXr2J+fj4RmKRSN0ma5VP6ZuYxBigxf3epVEKpVIqTXJRKpZikSdT6pyDpqQxP3y0JmSsp0VqkHzWXy6FWq2E4HGJlZQWLi4tYWVlJyM/sOyJtKpc9zjd9yVrANoqaagatdKZSrdVq8f2Ynp5GvV7H+vo6ms1mvDgFU7PSKvZN1VKfO5OXFAoFTE1N4dixY3j66afx+uuv78wPMCAgIGAbHDhiBjYs5ytXruD48ePI5XKxRM2gJbWiGZC1vr6OdruNxcVFnDt3Lg6GmpycjCO8T506BedcnHWKywqurKzEyUxImDY9J0mbEi+hvl3Kq0rG1mpmebqMpZI0ByGUlJVsbbnsB87F9gVdsY94fd1vV4tKi5zmf22HtjuXy8VzjBuNRhw9XalUACBenOKVV17BlStX4qhtG6hno9etvE8XQqVSwdTUFE6ePImvfe1rOHv27Bv8hQUEBATcPA4kMQOIA78efPBBrKysYH5+PrZk1cK1ci2nSvV6PayuruLixYt47rnnUCqVUKvVMD09jampKUxNTeH48eNxsFmr1cLi4iLm5ubipCaM8iYhW9+xTqmyAWDAZiL0EZ8er99906w037USN5EW8a3XVDmd+7jNBm+pxM3BAJUBRrZPTU3FvvhcLofBYIBms4mrV69ibm4O8/Pz8fxmzVvus+C1DXYQQNdCqVTC8ePHcfLkSfy7f/fvcO7cuS1+RQEBAQE7jwNLzACwsrKCM2fO4P3vfz8ajQbOnTuHTqcTT+dRwgKQSnYki1arhatXr8Y+T/qOaeE1Gg0cO3YsDuxixqrV1dU4taRGI5O0WQffHGStD0lPp05t5RO1RJvWPku2tgwlX4UGh2mea+abpj+di0IwurtUKgHYUDZarRbm5uZiBYLWsPq7bRtt0FiaVa5Ba8yH/Za3vAW5XA5f+tKXwpSogICAXcGBJmYAuHbtGp588kl893d/NyYnJ/H8889jdXU1kVjEEqBKs2nWKKXv+fl5nDt3LiakSqUSW4OcQnXkyBGcOnUqtioZJKZThxi9TNImMalUzeur9c1t+l+tV22fZvFKm4fs+69WJ9upvvJyuRwHtvEz53TTQuccckZKLy8vx6k37QIh1tL33SP9rP5rDZLThSoajQbuvvtuZDIZfOELX8DKysqN/4gCAgICdhAHarrUVsjlcvjEJz6BWq2GJ598EpcvX45zalvLjGSiFliadMp9vmM1G1WpVEK1Wo2TeDD3tiYmUZ8x5wNzupMm6GDgGcmbEq/Na62yOevj8/Vqxi/+FQqFOHKZCTxoCTOnOJOPMAq71+vFCgGzrXFpRrZB5WgbEKZIk6j1u/a3Wuwa5MUpdKdPnwYAfO5zn9vraTbDdKmAgH2CA7eIxc0gl8vh+7//+3Hq1Cl84xvfwAsvvBBbbJbQgKQUbJdo9JGGb26ulaZtPmdOl6K1zcUW+Llarca+UR6n1qvCRlXrOs4KStC2ThoARmud1juJlelMGflNK58DBh0kpC2NaQPGGIjmiwbX6Grb32yLjb5mv5bLZRw/fhwPPPAAXnrpJXz5y1+Oc27vYQRiDgjYJ7jpeczOuRKALwMojo5/NIqif+ycuwvAbwE4BOAJAH87iqK+c64I4NMA3gNgHsB/HkXR2R1ryS3EYDDA7/zO7+DBBx/ERz7yEczOzuKJJ57AtWvXYmnbkmtaxC+3+SKSfQFVLFutxbW1tdjnrRYgkPSRqpTMbGK6IIUu4UgrViVohVrSHJDoHGhOI6MVzH0kajuA8fmtrRyt7fMRrI+QFb5z7DYdrHBZx3vvvRczMzP4whe+gFdeecW7sMd+w0F6ngMC7lTciI+5B+A/jqKo6ZzLA/hz59wfAfj7AH4+iqLfcs79IoAfBfALo/+LURTd65z7QQD/DMB/fovqv+Po9/t46qmn0Gw28fGPfxwf/ehH8cQTT+DFF1+Mp1XZyGkAm0jF5+fU83xErrDn2+NsRq/tpHVLhj5CZnlWtvcFmdl2ccDhmx5l/2sd1N+9lQvAR85pQV828ts5l5Dgp6en8fa3vx2ZTAaf//znD9oc5QP1PAcE3InYdimgaAPN0df86C8C8B8DeHS0/dcBfHz0+WOj7xjt/5BLM3X2MF5++WX8q3/1r3DmzBk88sgj+M7v/E4cPXoUpVIp4YtN84NqpLK1ki0pplmKlmQtObFcu7CFJVZCBwY6n1r/7LKUvutvtS8tk5fW2+b19vWdtl2J3fZbWh8CSMjW+XweY2NjOH36NN7//vfj6tWr+M3f/M2DRsoH9nkOCLiTcENR2c65LDbkrXsB/O8AzgBYiqJoMDrkPIBjo8/HALwOAFEUDZxzy9iQx+ZMmZ8E8Mk324BbicuXL+OP/uiPcOXKFTzyyCM4fPgwnnjiCZw5cwatVguDwSDho/VJ1yRDa8GlybPbERDhs4J9lq3d7ivHR3BK9rZOaURJpOW5tlK8Jd3tpGuf/G3P1+AuDfAaHx/H6dOnMTY2hsceewzPPfdcap/sd9zq57mEyq1uQkDAvsYNEXMUResAHnbONQD8LoD73+yFoyj6FIBPAXsn+MuHdruNr3zlKzh79iw++MEP4tu//dtx4sSJ2PfMYCGf3KwEZ0lboURjYcnIF6xly/JtU+vdR4Zb1c9XvpXKFb5pV2nH++qzlXxu+8WqFjZhSKVSwezsLB566CG89tpr+OIXv4jl5eXU9h0E3OrnecxN7tnnOSDgTsAbmsccRdGSc+4xAI8AaDjncqNR9nEAXAvvAoATAM4753IAxrERNHLHIooinD9/Ho8++ije/e534/3vfz++53u+B8888wxefvnlOHLbBnXp6k+cW2zLTbueLuKgZW5lAftkY/2cNgDYakCQts+Sum7nZ58l7pPDbRt8JG7rrqTPbQzu4hzqsbEx3H333SgWi/jjP/5jnD9/Pp4PHXBwn+eAgL2ObX3Mzrnp0cgazrkygO8G8DyAxwD8rdFhPwzg90efPzv6jtH+L0VbmWB3ELrdLv7iL/4Cjz76KObn5/HX//pfx3d8x3fgyJEjKBaLiRWggM2ysPWbEnZ7WpYtHmPP85GozzLl+T4pPU0+thK2PYbbLEmmlaHYygrWbb46qr9aI9K5XOXJkydx3333od1u43d/93dx9uzZQMoIz3NAwJ2AbecxO+fegY3gjyw2iPwzURT9U+fc3diYXjEJ4EkA/2UURT23MR3j/wDwLgALAH4wiqJXtrnGHfegZ7NZPPzww/iu7/ouRFGEJ598Ei+88EK8dKJNoen7TKSRJvdtRWxb+ZYVJHyfL9dnhaf5fn2knCbDbyWZb7XP+ow531qPS5vvPTk5iRMnTgAAvvzlL6PZbO63aVBvah7z7XiewzzmgIAbQ0gwcgvgnMPExATe97734b3vfS8uXLgQZw3rdDqp83kB/3zo7Uh5K5JO268Wbdoc7O3KTiNmW3d7vMr5vkFEmlWv3/UYjYa3vuR6vY6pqSnU63U8//zzuHjx4p2QLORmEBKMBATsE9x0gpGAdERRhIWFBXz+85/Ht771LXz4wx/G933f9+HrX/86nn/+eaysrMTyKecdbxdxzM++QLKt6mFXmvIdo9aqBmVZaftGfNU+63srq9vW8UauqZZ4GiGXSiVMTk5ifHwcly9fxtNPP73XU2oGBAQEbIlAzDuEs2fP4ld/9Vfx0EMP4T3veU+c1vP8+fNot9sAsGm+sU/C3ioQyxJZ2jkkQV/iDh6vfu+t/NEadKWffQtb+Oqg37Vevvb5/vsImTm6G40GqtUqlpaW8Oyzz6LT6Wx9kwICAgLuAARi3kGsra3hqaeewnPPPYcHHngA73rXuzA9PY2XX34ZCwsLiaUKgc1SL+BPIkJsZ1Vvt89nKaedY+ujx1h/b1qdbSS1va7PIiZ8sjXnJFerVTQaDVy6dAkvv/wyms0mAgICAvYLAjHfAvT7fTz99NN49tlncc899+D06dPodDo4c+ZMHIzEPNRpknCazEtst9+Srj3OZt/a7lw9z2el2+0+y9ha0Db6XAO6+F+jrcfGxlCpVHDx4kWcPXsWrVbLW/+AgICAOxmBmG8hBoMBXnjhBbz66quo1WqYmZlBqVTC2toams1mvBhEFF1PlamrIVn4LNOtJG0rSSt5plno/KyrZaVFX9sylGg1cnqr+qnfOZvNwjmXmI9cLpdRq9XQ7/dx+fJlLC4uYm1t7Ua6PyAgIOCORCDm24B+v4+FhQUsLCygUqmgWq1ifHw8Xq2p1+slEpTY5RCJNFmb37ci2zTpWolRiZgkaa9hy7cpSe2xPstaj+ESk85dX2iCQV2ZTAYrKyt47bXXEoF0AQEBAfsZgZhvM9rtNtrtNq5du4Z6vY5Go4Hx8XFEUYRut5uYA83/1uJM+2wtWm7jcTYlp0+yTiNXXwIRXTYy7XMut/ETI9HbIC76jguFAsrlMvL5PF566SXMzc3htdde229zkAMCAgK2RSDmXcTq6ipWV1fjlY9OnTqFYrEI5xyq1SrW1tZSLWa1NDVISvdZn61aqLrYA7/7Vs3i8WpB87+vDj4yt4FcAOIlGLPZLPr9PgaDAZ5//nl87nOfQ7vdDtZxQEDAgUUg5j2AtbU1zM/PY3FxEfV6HaVSCcePH8c73vGOxFKM6+vrWF9fj61I5t+2Szlq5De363HWr01oIhR7vu8Y7rMyuU9K18hqACiVSmi327hw4QJWVlawuroapjsFBAQEIBDznsJwOMTy8jKWl5dx5coVPPXUU6hWq6hUKrHcu76+Hk+7YtISkiOwef1iO4dZ4ZsKpQR+IwlBrDSuUdkk4nw+j0wmg36/j/X1dbRaLfT7/f2amSsgICDgTSEQ8x7G+vo6VlZWsLKyAgDxIhn0zZZKpdhCHgwGcM5tyjBGKFH7/NOKtBSb+lmjtlUGB5Ky98rKCqIowtraWjxFLCAgICAgHYGY7yBYv2ur1YpTU66vr8dLRXKlK1rWJEQfKdqgLrW8bW5tHs8FIwqFAjKZDFqtViyf81q9Xu9WdEFAQEDAvkcg5jscKmlzfq9KxIVCAcViMfZNk2xVpk7LU01LmL5sWupRFKHZbG5KhhIQEBAQ8OYRiHmf41b7cgMpBwQEBOwsMtsfEhAQEBAQEHC7sFfWY74GoAVgbrfrchsxhYPVXiC0eSfwliiKpnewvB2Hc24VwAu7XY/bjIP22z5o7QVuTZu9z/OeIGYAcM59PdrjC8DvJA5ae4HQ5oOC0Ob9j4PWXuD2tjlI2QEBAQEBAXsIgZgDAgICAgL2EPYSMX9qtytwm3HQ2guENh8UhDbvfxy09gK3sc17xsccEBAQEBAQsLcs5oCAgICAgAOPXSdm59xHnHMvOOdeds791G7XZ6fgnPsV59xV59xfybZJ59wXnHMvjf5PjLY759y/GPXBM865d+9ezW8OzrkTzrnHnHPPOeeedc795Gj7fm5zyTn3Nefc06M2/79G2+9yzv3lqG2/7ZwrjLYXR99fHu0/tasN2GGEZ3l//K6B8Dzv+vPMHMq78QcgC+AMgLsBFAA8DeDB3azTDrbtOwC8G8BfybafBfBTo88/BeCfjT5/FMAfAXAAvg3AX+52/W+ivUcAvHv0uQ7gRQAP7vM2OwC10ec8gL8cteUzAH5wtP0XAfw3o88/DuAXR59/EMBv73YbdrAvwrMc7Y/f9agd4Xnexed5tzviEQB/LN9/GsBP7/YN2sH2nTIP8wsAjow+HwHwwujzLwH4Id9xd+ofgN8H8N0Hpc0AKgC+AeD92EhCkBttj3/jAP4YwCOjz7nRcW63675D7Q/PcrT/ftfSjvA8R7fved5tKfsYgNfl+/nRtv2Kw1EUXRp9vgzg8OjzvuqHkaTzLmyMOPd1m51zWefcUwCuAvgCNqzGpSiKuBSYtitu82j/MoBDt7XCtw774n6+Aezr37UiPM+3/3nebWI+sIg2hln7LiTeOVcD8DsA/l4URSu6bz+2OYqi9SiKHgZwHMD7ANy/uzUKuN3Yj79rIjzPu/M87zYxXwBwQr4fH23br7jinDsCAKP/V0fb90U/OOfy2HiIfyOKon8z2ryv20xEUbQE4DFsSF0N5xxXbtN2xW0e7R8HMH97a3rLsK/u5w1g3/+uw/O8e8/zbhPz4wBOj6LeCthwoH92l+t0K/FZAD88+vzD2PDbcPvfGUU2fhuAZZGL7gg45xyAXwbwfBRFPye79nObp51zjdHnMjZ8cM9j44H+W6PDbJvZF38LwJdGVsd+QHiWr2+/o3/XQHied/153gNO9o9iI+LvDID/x27XZwfb9ZsALgFYw4Zf4kex4X/4UwAvAfgigMnRsQ7A/z7qg28CeO9u1/8m2vsBbMhazwB4avT30X3e5ncAeHLU5r8C8D+Mtt8N4GsAXgbwfwIojraXRt9fHu2/e7fbsMP9EZ7lffC7HrUjPM+7+DyHzF8BAQEBAQF7CLstZQcEBAQEBAQIAjEHBAQEBATsIQRiDggICAgI2EMIxBwQEBAQELCHEIg5ICAgICBgDyEQc0BAQEBAwB5CIOaAgICAgIA9hEDMAQEBAQEBewj/fwfaHf0nSSEtAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "image, label = data_dict[\"image\"], data_dict[\"label\"]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[0, :, :, 30], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[0, :, :, 30])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random affine transformation\n",
    "\n",
    "The following affine transformation is defined to output a (300, 300, 50) image patch.  \n",
    "The patch location is randomly chosen in a range of (-40, 40), (-40, 40), (-2, 2) in x, y, and z axes respectively.  \n",
    "The translation is relative to the image centre.  \n",
    "The 3D rotation angle is randomly chosen from (-45, 45) degrees around the z axis, and 5 degrees around x and y axes.  \n",
    "The random scaling factor is randomly chosen from (1.0 - 0.15, 1.0 + 0.15) along each axis."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<monai.transforms.spatial.dictionary.RandAffined at 0x7f6cd40c0d60>"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand_affine = RandAffined(\n",
    "    keys=[\"image\", \"label\"],\n",
    "    mode=(\"bilinear\", \"nearest\"),\n",
    "    prob=1.0,\n",
    "    spatial_size=(300, 300, 50),\n",
    "    translate_range=(40, 40, 2),\n",
    "    rotate_range=(np.pi / 36, np.pi / 36, np.pi / 4),\n",
    "    scale_range=(0.15, 0.15, 0.15),\n",
    "    padding_mode=\"border\",\n",
    ")\n",
    "rand_affine.set_random_state(seed=123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can rerun this cell to generate a different randomised version of the original image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 300, 300, 50)\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "affined_data_dict = rand_affine(data_dict)\n",
    "print(f\"image shape: {affined_data_dict['image'].shape}\")\n",
    "\n",
    "image, label = affined_data_dict[\"image\"][0], affined_data_dict[\"label\"][0]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 23], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 23])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Random elastic deformation\n",
    "\n",
    "Similarly, the following elastic deformation is defined to output a (300, 300, 10) image patch.  \n",
    "The image is resampled from a combination of affine transformations and elastic deformations.  \n",
    "`sigma_range` controls the smoothness of the deformation (larger than 15 could be slow on CPU)  \n",
    "`magnitude_range` controls the amplitude of the deformation (large than 500, the image becomes unrealistic)."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "<monai.transforms.spatial.dictionary.Rand3DElasticd at 0x7f6cd3fbf130>"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "rand_elastic = Rand3DElasticd(\n",
    "    keys=[\"image\", \"label\"],\n",
    "    mode=(\"bilinear\", \"nearest\"),\n",
    "    prob=1.0,\n",
    "    sigma_range=(5, 8),\n",
    "    magnitude_range=(100, 200),\n",
    "    spatial_size=(300, 300, 10),\n",
    "    translate_range=(50, 50, 2),\n",
    "    rotate_range=(np.pi / 36, np.pi / 36, np.pi),\n",
    "    scale_range=(0.15, 0.15, 0.15),\n",
    "    padding_mode=\"border\",\n",
    ")\n",
    "rand_elastic.set_random_state(seed=123)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "You can rerun this cell to generate a different randomised version of the original image."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {
    "tags": []
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "image shape: (1, 300, 300, 10)\n"
     ]
    },
    {
     "data": {
      "image/png": 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0PzuJsG3Z/XUM4tqIm8RYK5lFVXj8IMuV45ZMJjEyMoLHHnsMhUIBn//853H+/HnUarVYC9jep1dTLmxqWyDogIDtgUDMdxjOOUxOTuId73gHHnroIRw8eND7j23eba/X85ZzXBlIa/3FVfVSIlXCU7K0srJOApQwOFGw/mglHg3OUqtY27CTBntNcValRm0PIvm44+L8ycSgsbH9sCSbyWTwwAMPIJFIIJfL4eTJk34ZykFW8CAZnpMebZ/bnXN+4hAQELB1EYj5DiKfz2Pv3r1429vehne/+91Ip9MA4Fc9spYq0O9PjrOgnHMb8pOVzHgMH/5K8rqvjdTWdYwHSd92exzR6r5MxVJyupGlzX6TiNknbmd7Ojmw4xe3zY6n9XNb+Zv7cCxIzkeOHEEul0Mul8NLL72ExcXFDRMRvR7bl0Gy+qBxDAgI2JoIxHwH4JzD1NQUPvCBD/iymbSG+LDnA58pO0pC7Xbbl5SMi8TW97rdWmMAXlUu1TxmlbfV4rWEnEqlNljOKqvH+a6tlM5zWEKlnz0ON1IR4ixhOwkYlJ41CDpRaTabSKfTOHjwoM97/tKXvoQrV66gXq/H+srjiHfQ5CDI2AEB2weBmG8zRkZG8Pjjj+Obvumb8OCDDwJYI7d2u923qIS1bEkCmnvM7bSSCWshDwowUpKwVq5tH9jokyXJxsnB+loldO2X+qQVlrysRK7nGgQrN+s4DLKeLRnrdcct5KEkyutLp9OYmJjAE088gYmJCTz//PN44YUXUC6XY+9t3CQlbqzt+4CAgK2LQMy3CdlsFkePHsV9992H97///RgdHfWStVrKWrUrTkIF+v2r+sCOI0T1EVuSVtlU2yNU1taJgR6r+1IWZzv2Ggg9VgPJ4izXV7MWLQHbsdBzxB2nldFezR9sj7UkzxiAbreLTCaDo0ePYvfu3di9ezeeffZZXLhwoW9VKzsh0rbjAu8CAgK2BwIx32I457Bjxw78uT/35/DOd74ThUIBqVQKnU7Hp9bYQh48LpVKeYnbWtDWkuRnKj0radi0Iu6vViy3xQVMWVnXWnPW78tqXrqPrXA1yDrkZzeS5gcRfZy1y34NOnfc+fjeWtmDJkM6iej1eqjX60gmkygUCnj88ccxNjaG//bf/hvOnj3bF7U9qL1BKkdAQMDWRyDmW4hCoYA3velN+PCHP4z9+/cjnU572VotLJIzfckkV8rb/Nz6cm3QllrHN/IrvxoJqE84mUzGWu9qEVsLOZPJxBILr0Hl+Thr2B5rg67iFt5QWVyvOY6ALVnrdh5nfe86gbEFXZRY9Z70ej0fD3D06FHk83l8+ctfxksvvYSVlZW+462KYF/bfQICArYuAjHfIoyOjuK9730v3vOe92BmZga9Xg+tVqvPj2wJUmVVrYxF8L31HcfJuXHysMIWK7HQNmz+s7VQU6mUl7vT6bSPLu92u37Coda/JWYlWiuXWys9TqrWthSD8qXjLO+4KGibA679jPM52+visZ1OB6lUCnv37kU6ncbQ0BBOnDiBpaUlX1Y1brIw6LoCAgK2NgIx3wJMTk7iQx/6EN73vvdhaGjIkxEtYGCjjEwyIyEA6LPglCDsik9xUq7dz5I1j9FJQlxwkxKMJRz2HVgrkJJOpzdI2Hp+Tio0X5rbbR9JgvZzWvKDoKRrSV0t+zhZW4+zkx3tn1UK7Njosbx/7XYbqVQKu3fvxrve9S7s2LEDX/va13Dp0iXU63V0Op3Yc9vzBwQEbH0EYr7JGB0dxV/5K38FTz/9NNLptC8UojLzoEIWTI1SC9VKuIS1+vRzS+JxVqYSYBzZWoKzUjaPVambr9lfbZfHad60PV7VhHQ63dcPtkc3QNxkxJ7T9kX9uvZYO+a2JGecBB7ne4+TzPmeCsLw8DAef/xxjIyM4Ctf+QpOnz6Ncrnc9x2xcn1AQMD2QSDmmwTnHPbt24dv+ZZvwfvf/340m00vXWteMkGrL51Oe1Km5GlJAIjPM+bDXheNsFKwlvEkrD+T75PJJFKplLe0SY48v1rv7Cdf2xQuC04cuHwl20qlUn050Vbit8FRhJK4nkOXkFSpWvtlJzk6Dnqs7hvnOojz/+px/G+vo9vtIp1O4/7770ehUMDw8DBOnDiBlZWVvnWx9ZhA0AEB2weBmG8CnFuLvP7e7/1ePPnkk2g0Guh0Ohv8h2oxA9fTeDSwy9bDVquMRET/sJXF43yT1oLTNpUce70eUqkUcrmcb8NOJLTf6usmkTOwTcmW7cQpAGp1233jLFySLvvO1CRLYJbI4yxvvX4rIdvXcb5jhSXPON+49iOKIrRaLS9tcwL10ksvYXl5+YalPAMCArY+AjG/ATjnUCwWsWPHDjz++OM4evQoer2eJ2YlF6A/ZYhkpKlQFrovZWD6q+PkU/ufpGL3t/Ksc2uR1BrNrNavtah5XalUyvcTuD7R0LQo9luvP04a137ztY4X+6Rknkwm+/LA4yYzSrp6fmvh2lKng/qkioRa0nHBYNzHXhPPS4Vkz549aLfbaLfbePnll1GpVDakgwWrOSBg++ANEbNz7hyAMoAugE4URU845yYA/BqAAwDOAfj2KIqW31g37y4455DL5bBjxw689a1vRSKRwMjICACg0Wh4v7KSio2Ktmk1KovaSOG41J84vzE/0+0kZ5KmStP07yaTSaTT6b7lJTX4imlTFkp2VAco0/LcNn/aKgY6pqoe6DY7JpwQcB+SNM+vEwIbSKf+bGsp2/7EEbSOK9u2wWnahh5LWFdDMpnE9PQ0Dh48iHK5jEuXLqFarW5QDW41MW/X33NAwN2Gm2ExvzeKomvy/kcA/HEURT/hnPuR9ff/8Cac565APp/Hgw8+iHe/+904cOAAzpw5g+eeew7FYtEHb1nfJ9BffcqSLR/QlJTj0nzUCoyTeekLpVWplpxG/GobtIDT6bSXn3k8LVHK5u12uy+imtfKSOxEIoFsNusJn/vTF020222vKFgpXgler1mJTFfd0nbpD7fBczru6su2E4A4+TlOmYjzJ9sgO3uvLKwV3u12kc/nMT09jd27d6Pb7WJ2dhb1ej02tuAWY1v9ngMC7kbcCin7IwDes/76FwF8FlvkhzwzM4OPfOQj+OAHP4her4djx47h1KlTKJVKcM6h3W735QcD/ZW04lZyslJuJpNBo9HYIJlqO9ZPatN/9DVJUy12WsnZbHbDghMkaQDeguZEg6SdSqUwNDSETCaDTCbjF9RIp9N9VqmVm6MoQrPZRCKRQLVa3WDN8ho5HuwHCZcTBR7DftnJkJWXrS9brW72YdBqXtbvb6Vpfa3jOEjaJngOjVYfHh5GOp3G9PQ0AODy5cuo1Wp934UbpYrdImzZ33NAwN2KN0rMEYA/cM5FAP5NFEUfBzATRdGV9c/nAMy8wXPccaTTaUxOTuIv/sW/iL/wF/4CarUavvSlL+HSpUsolUoArgc+ZTKZWNlRrWTdptAiHbrubpyUbX21Shz8rz5qewx9yvxjNLDtJ/cn+WYyGQwNDaFQKPggJl53s9nss8R5fLPZRLPZRLvdRqvV8r5VWuk6iYmzhtkvKgrsIy1fkrQG0WUyGT+psJHtqkpwEqHEx7bV6rYSdZxkbV0QSvJK9LpNx3xsbAz79u3DSy+9FEvOtwHb4vccEHC3440S8zuiKLrsnNsB4A+dcy/ph1EURes/8g1wzn0MwMfe4PlvOZLJJPbs2YN7770Xhw8fxtWrV/H5z38er7zyCqIoQj6fx8jIiJdoh4aGNqQY8aGsJS5JQLQo+cCmVajVtGxhEJKFJZ1B1ajYBnDdJ6tR1YlEAplMps+CJSgRqx+WkjLbU9IhyVQqFT9ZUas7zlesAWI2rUzPqRMRbqdSQfLnsa1Wy++n46vjaSPNdWzYL5uGZiVqlcEHBYzdSM5W18HQ0BDuu+8+1Go1nDt3DtPT0+h0On7pyNtAzjfl95xF/lb3MyBgS+MNEXMURZfX/887534TwNsAXHXO7Yqi6IpzbheA+QHHfhzAxwFg0I/9TiOZTGL37t0YHR3FyMgIkskkXnjhBZw7d85LuNlsFoVCAfl8Hqurq0in0ygUCl6SjityQX9kXNCQRjbzvV2DWAlaj9F97ENcrT/1FdPqJTmQnNg+LVGeixZys9n0lilwXWKlpa8BcDyPkppKx7ZPOgnRFCm1bmnF8x6k02nU63WUy2Wsrq6i0WhsmGjoeNlAL5WI6S/vdrtoNpuxS2Dqtdh4ADtJssfpfdL7QL/9m9/8ZmSzWZw5cwaTk5OIoghzc3PeN3+rcLN+zyNu4q78PQcEbBa8bmJ2zhUAJKIoKq+//mYA/zuATwP4KICfWP//2zejo7cbiUQCu3fvRj6fR6PR8JHGy8vLGBkZQavVwtWrV9FqtZDP53Ho0CF0Oh2USiXvv+31en4FqbggHlrQcf5MJTCtM62fKUFbklBLzR6j1jItXwaBAdclZf5X4qE1zzYou9N/Tsmb1x9XrIPb+Wf9vFYathMRjlWz2fSSNeX16elplMtlrKysYHV1FfV6He12u8+HTsLnObR/nIhwTOhTZ7EY7QPHVq9NZXm1pok4N4SV2FOpFB544AFks1mcOHHCfy/m5+fRbDZf0/f3G8VW/z0HBGwmvBGLeQbAb64/XFIAPhVF0e85574C4Nedc98P4DyAb3/j3bz9yGazGB4e7guAovWUSCRQKpWwuLiITqeDcrmMbreLYrGIqakpb8nFpd/oe7UYlZDpgwWuP8hJ4Jqiw33j/Mz6mvIsCY7Rz0rU7A+JklHTWgObq0Yp0QPok3+B66SkKVYq2eu1kdDVX2z93LpNJyS6X6fTQaVS8RJ5Mpn0Kke9Xvc+ao6NBrixhrlODDhhoTJic6bt/VQoGeukyRJ1nJ+alnMymcSBAweQTqdx/Phx759nTMMtwJb+PQcEbCa8bmKOougMgEditi8CeN8b6dTdgFwu54OiaPnyIdtqtbCystK3OMXq6ioWFhaQy+W8nK0PdCBexqRFrFHHtCqVPHi8+oyVgPk5sDGorNfrYWhoyBOOEqdK1xoAxv1TqRQymcyG6lz2HDaQiedQErc+Yj3WBmHpOdRXrwRN/3W1Wu1rj+2wzxxfjcrmfxIvJ16tVssTtFrabIP335Kq9lej7/WeDyLyuPvG+7tv3z5kMhk8//zzcM7hwoULsW28UWz133NAwGZCqPwVg2QyifHxcZ/i0+v1vM+SZFqv1/uCs2ix9Xo9L58yQttaf5agVNK2r5XYlIS1XX2wq6XGY611qKtAaQUySvBMc7JEwn7bXGl7bTbNyyKuwAhwPT1Kpd64P+5D/7b6s5VQGXlurXebYsbUr06ng0aj4SPIbeAere5kMumjy/V6dHKi90XH57VMpPT+RlGE6elpPPjgg7FFXgICArYeAjHHgClBNvCH5KwlN60vkZavLephg7cI9bkqIetDXaOStQhJnJ9ZzxVn6fJa1CKPogjZbLYvopz78LVCLUSNVmZbSt6WyLU9Oy56Ph6nY6DHcCzUb8zju92uJ06StI6vvV/pdBr5/FokMQvFtNttHwmdSCT8e9YCz2azPhBOr9teR9x2vd64cbEE3+v1sGvXLiSTSfzmb/4mAgICtjYCMRskEgn/EFSribInrSo+8NUqzOfzngjjHrj6YNagKrXemCZl05yAwasiqUWtJMlSmyrPZjIZT2g2upnb4lKWrBxtrWXdz1qCekwc6cThRrL8oPNoOpP6zXkf9Z5xzHmtqVTKW97pdBpDQ0Ne4qZKkkwmUSqV0Gq1/NimUik/YbNjMkjOjpugWMRN5Hbs2BE7VgEBAVsLgZgNxsfHMT097X3IfCCPjo566ZKWlAZi5XI5jI+P+6jlbDbrrd9B/lUtw6nEFRc0FmcZ6z76Xitm8RqccxgaGvLtkIi5f1x6jy4aocRCaVhzfLUil5KuDRTToLQ4P6211HU84oKltE09t/qsNQKbkxT60xOJBGq1GrLZrD+3RqNTLu90Okin08hkMj5djLnH+Xzeb9N7FJcXrn2Pm9xY14CdDAUEBGx9BGIWzMzM4PDhw1hZWUG9XvfBXYVCATt27MDS0hKazaaP8lVJeHJyEsPDwwDWyJ0FO9TiBjb6mFX6tfvEEZHdZi1EJT61ELVmNY+hv9RawLSaVQ0Y5CePs4S1r9bvred/rUQT14b93LalkxtVIxiMR18y79Hi4qIP3FMyTyaTaDQavkwqo9M56WJRGSoRbNNOsOL8z3HXFTdZ4bkCAgK2BwIxY+0BePjwYRw9ehSXL1/2ciXJaMeOHZicnMQrr7zic2N5HLAmYe/du9fLm5OTkwDgJVQgnjziHtSUTePkYLVaNepZU4Q07YgkQt+qFtbQmtjan7g8YgAbLFyb02uvLU72VqKx57XKQNx1x72Omwhof+w2nag0Gg0vS3c6HTSbTQwNDXkLmq6LarXaV+mM9cUpfTcaDTi3tuJYPp9Hq9XyBVjsmOg1D/L/x22LU1wCAgK2JrY9MSeTSTz00EN48skn8cILL2BxcdE/cKNoLbL38OHDANYkbFrSRCKRwMzMDHbs2AHnHIaHh/v8jnEPU/Xhxkm4lgSBjQFjbIckwwhkWlbZbLbP52yJ3AZsqbxsZWdLpnEEq5afWoeWOK2POE7W1f5YaZvXHdcX9RnH+Wh5LBUK/QPQ57qwVdtUtqdKQlVEgwIpdzN/+kaTGzveN0KQsQMCtg+2PTG/613vwnvf+178/u//Pi5evOhzY0kUExMTuPfeezE3N4deb60GtFqAuVwOu3fvBrBGhmNjY4iiyPsyVQ7mgz4u6jquaIUSkZWBWXFL+9JsNtHpdHyJSj0XU6C0HKi10qxlqTJ3nAVM2ONeq3U3SAIf1LZOaKw1yXFS37+eg2PMe8L7zDa0gAzHR5fDVHeBSv5cjIPtUSXJZDLI5XI+9UqhgX069hp9b/3rAQEB2wfblpidc3jrW9+KD3zgA/jsZz+Ly5cvo9ls+oc7sCb33nvvvUgmk1hdXe3LVaakOTU1hUKhgE6ng5GREQwNDW1IpSIGWZJxvlng+jq/Vrom0ZI8GcndarV8pS7mVpOMWTAkTlYeRLhqmcd9ZomV260/Wl9bsrEWtm6Lsy61Tfab/eOiGboEpE54NBiL8QO2f1p9rNVqeXWBkevMAbf3lCRN0me+OOVwvcY4RSSOgO01B6s5IGB7YFsSs3MOH/rQh/Dd3/3d+M3f/E288sorfSkvfIiOj4/j4MGDWFxcRLPZRLlc7stPHh0dxe7du5HJZJDP5zE6OuqLTwDoy5sFNlqI3GZzoe3/dDq9IV+Wf6xJzbrRhUIBzq1V+CJZsGgICUlhA844PnHycBx0v7jobWs5a9/1WGuJxsnR2haPVyuZhKgWqk607MTItm3JXAmfPmhK2HQd2PQ4tqHjn8lk+qqFWWnd3lM7vvaYgICArY1tR8zJZBKHDh3Cn//zfx7PPPMMjh8/7qt46UMymUxiZmYGExMTOH36NHq9nidmYC3FaGJiAqOjo8jlchgeHvYkqfWUges1oZWEVLakr5j7KkEypYppVQzy0nrazL2dmZlBMpnEyspKX9UvfeBbq1x9uCr5EvY6CHsdcRK87qfX+mrkrf0B+q1wewzJmTIya0rHKQCDfNN8rxOpuAkF/dGdTgetVssTNL8PvBcA/HcgkUhgaGjIH2cnF3GI61tAQMD2wbYi5mQyiSeffBLf9V3fhcXFRfzpn/4plpeX+2RNJc/JyUlkMhkfxMNIW35eLBaRy+WQyWR8DjPlcKDf2rFrKyushMsgLpU31UfMXFpGYadSKRw6dAhDQ0OYn5/vk25ptamsHVeZKs5qi7PSrK9br4n97vV6G6pxxR2vxBk3LrZfCluspdVq+UpcvFYltzj/rT0/o61vNBHhsTwPA75YkERro7MCXDqdRi6X8xXjrFqg7Q+S7wMCArYPtk1kSTKZxNGjR/HRj34UURThT//0T3HlypU+n6Q+BFOpFAqFAqIo8oUjLEm0222USiXkcjm/r4241oc5EUcMJGTrh7QP7E6n4ycKlEsPHDiAsbExVCoVL8nzj1aklqe01piVoa3PWcnLyrBsm3KyWp5xVrS2xevW9uz46HbCTniYnmR9uUrYUXQ9j5mw1zzImreuCCuhNxoNX66TrgdNX2ObWnVt0LjwfFaJCFZzQMD2wbawmBOJBJ566il813d9F1qtFn7v936vz68cVxYykUhgZGQEjUYDwHVSUvJg3eTh4WH/nuQHxOf2avuab8wHvSVttXy5jVW7ut0u9uzZg8nJSaysrPgIYI0uZlu0lu1ylDZ9ifKrJVat7KXjocdq1LL1ZVvJ3o6LlZzjqoZZy5nEyDQn7kPpu9VqoVqtel8wK59pEJiSro6BtmWvl5/xOE7eut0ucrmcLzgCXF84hGlY2WzW5z3r+Md9R/Q8AQEB2wdbnpidc3jwwQfx0Y9+FM45/M7v/A6OHz+OWq22Qb7WY/ggpxUE9D+cSR6FQgFDQ0O+tjZw/SFPCZnQKlr60Oc5eay12hKJxIYSn4lEAlNTU5iamkK5XPZVp+hjtZYgyanX63nZNQ5xEqv9b33WSp56Xp1Q2DEeZJ0TNoc5Dmqx2+tl+lO1WkUqlcLIyIjvk57LniNOvh5kudrPuOoY3Qe6nCTvNct80pqPk6rjJjBB0g4I2D7Y8sR88OBBfO/3fi+63S5+//d/Hy+88IKXHYF+ItKHLgt0MJeX+/JBTpImyXEfWmMaDUyQkOOkbWsNknz5Of+TWEZGRrBv3z7U63UMDQ1tKCOqpKJpP+wT130G+hd/sJK9yrYcjziCjaLI+1P1M+2HtX7ZdlyxE75Xi1X/c19azNoW+2kDrtQSturEoDHQe6TXay1rnt85h2q1iuHhYR/4RQWB48gUtyiK+tbHtuTP+xXk7ICA7YUtTczpdBof+tCHsGfPHnz605/2pGwLPKh/ke8ZZMXgKuYx68OYRSTi/LPAxkIiN5JzFSRgtappfVJSnpqa8rJ2t9tFqVQa6EfWB7wWOxkaGuo7J89nF6/QQiODoqPjiNX6mu3kg9u0n4P2473S5STjUqF4fDqdRrFY9BIyo9qtTG/l7Djfssrjmls+aAIRRREajQay2az3KZOEuQ/90DpxsNdgJzEBAQHbA1uWmBOJBB5++GE89thjePHFF3Hs2DGf7kSCsT5jgg/BdDqNarWKVquF5eVln5/M/bPZrLestU2e31rMJFWSvVprPC8JgZ9T+mRb3W4XxWLR12TO5XJYWFhAvV739b3tA10l5UQigWaz6fvEBRn0wa/XY1O5dKzipF69Zitjx5XYHGR92/GwE6k437Lun0gkvJtBLVL1W8f1Q89jU9qs9R83LhwzRvDTzUH/NiPGOWEYlLNtx9B+RwMCArYutmxUdqFQwNve9jZEUYRjx471pUXFwUrLlCB7vR6WlpawvLzcl+ucSqUwNjbmiVlrLlviV4nURl4D12XvOJk7zmoqFAreEqtWq96apz9bZVkrwZKombpDUtBr08lFnJrA/ijJxlmitu92jOOIWI+Jq92tf/Z8CpXsGfDG/tKC1n5Z0rXKh51c0I88yAVAcuaCJ6lUqi+livdeXSU6Bvr9CdZyQMD2wpYl5snJSTzwwAO4fPkyLl68uCFXGRi8GhFwPbUliiIsLy/7pR6BtYdpsVjE5ORkX6Utu/aytajiLKu4PihpMZCJ+2mZx0QigdXV1b66z2zHKgH2mml1st+DJgUkQUKtTbvecJx1Z61uvWYrg7MttYqJOB+wpiIpwdo/StsAfA1zErbWDldZWlfe0nPbgME4UiUY4MXIfkbG63VZWVy/OzrWwVoOCNg+2JLEnEgk8NBDD2FsbAxnzpzx1q4Sij5U4x7unU4Hw8PDaLfbKJfLfQ/dZDKJ6elpjI2NIZfLAdiYTgPEW5WWjKy/me2oZUhrlkUw8vk8AKDZbKJWq/VJ1ppLrMSlhGaDynheVRPUYtV92BclEFu8Qz+3/mLeA11Awt6HOOlY+6UTD32t18F+JhIJT8D063JC4pzzEzB7rRxLez90wqGf2+vTfjQaDZ9zzomAqhtqNdvxAjZa1QEBAVsbW5KYp6en8c53vhP1eh3nzp3z1q59uNmHoBILH7gqEQPwvsudO3f62tiWsICN1pMlPd3HSrgKBmnRZ80I8F6v59cJphVo27LBVHEkwHKfNvpcJVX9U9nbSrhqXWtal5Kr7QPPx//WhxvnDyaxapqUJU1u06CtKIr6CowwGIv9sfdf5WTrAomT9Qk7pqwQxvNTWlcVRC1nex/jvk8BAQFbF1su+CuVSuGbvumbcOjQIXzhC1/A7OysT0mJkx4tGZEQWElKJU1+PjY2hp07d6JYLPZZP9wHuC7rWmJQOTZOytV2lFjZLktd8mHf6/V8UZE4OVqhBKIpXtoHDTLTSGh+RsLl2GikuLVy6c+110yL3lrXcRJ3nMXOQi7WYuX+6kJglLpOGnhP9NriLFXbH5uXHTe5sPeWn/F+ca1mRvxzXy0yE/ddCAgI2D7YcsS8a9cuvOtd78K1a9dw/Phxv0yjtT5UYrbEwAepLgOpkbrj4+MYHh7uk0XjiHQQyVjp1ubqKrFRyqa1pYtYaOUyjQLXvijxKVTaV4mb46IERPLSnGEFJWK9trhr1nEhrOyt25VI1Q2hhDwomA+4XnULgK/EpaljerytbGavRScVem32f9x1cewajYaX1jOZjC/1qsTMfePUnYCAgO2BLSVlT0xM4K/+1b+KvXv34rOf/SxOnz7tqyspIQx6rXIoJWyVXumTnJiYQLFYjF2X17YbJ6GTZOP8q0qWCudcnwRaqVTQbre9/9L6QeMsQW2T1i73sX5b9pskSJLTfThmVvK2fR9EdoSV3Af5nVUCt5Hs1m+ukw2Om/UL6z72XNpf/V5w7BhZrS4Cla/jXBq9Xg+1Ws3nLtN6VhXBRtS/mgoSEBCw9fCqxOyc+6Rzbt4594Jsm3DO/aFz7uT6//H17c459y+dc6ecc8875x67lZ1XpNNpPPnkk3jHO96BZ555BidOnEC5XO4jirhyjEpKlnRoEevDNZvNolgs+ihfDcwaRM48l7at59f3+mBmDjM/o1VVq9X6rGU9H3B9gjFoYqDSc5yPmv5ODWBijjQJJZfL+VWV1NqMS7uKUyTiLMI4EtIJg5IgJyFc7zidTiObzfaRnUZexwWIqUqgfVDS1/vIz+lDpuXL8+viFbpOs7bT6XQ8Odva5bweDQi0E6Y3is3yew4I2M54LRbzLwD4gNn2IwD+OIqiwwD+eP09AHwQwOH1v48B+Lmb080bI5lM4r3vfS+++7u/G1/96lfxJ3/yJ1hYWOgruMGHun3o62slNlbFYvSuPuz58Nfj4mRPlXfjLGPdZnOGSTz0BdPiazabqFQqvrjGoPSjuPQkXr+uPEV5mu3xtXPXfedqxZOM8/m8HwddtUknOHEWuCVg7bPCysZKViRn7UuhUEA+n0exWEShUPAkras53egcdsJkyVEnSzo5sNeUSqX8ufVzbbvT6aBSqfhSqSR2XlMmk9lw7bZPbwC/gLv89xwQsN3xqj7mKIo+55w7YDZ/BMB71l//IoDPAviH69t/KVp7yn3ROTfmnNsVRdGVm9bjGOTzeTz99NOYn5/HZz/7WVy5csVL2DYa2lpy1ncIwBNQLpfrk8KthQbAy8gqsbJttqX+aWvd6j7WWk4kEn4lIvqaW60W0ul0HwFagicGrQg1yCrVsWIJS/Vh00qMq1hlx1T91HEkPGhSFEee2neSIiuWaeQ1J0+0Onu9nl/20eYL6zUzXx3oL6qi+cbsSxxh66SN18yVx2gl6zEAvOUcRf311mlJa/v2+/JGsBl+zwEB2x2vN/hrRn6ccwBm1l/vAXBR9ru0vu2W/ZCdc3jsscewf/9+/NZv/RYuXrzoZd4bEUfcg04fzsPDwygWi1haWuojtFwu52sgq8XKB6hGYfN8bFslVZVKtV98+NPS48IQ/Jz5sBohbdtgOzaYzI6FRljbNCYSGa1nWoIkG1vljH5o9W2rT5z7qlRu72PcRMp+xuMVcf50yslaJ5sKgR7DflGK5vgz+E/TvjQCnUFwmsamkd/1eh1zc3PIZrM+112/C7w/TOXLZrN+XHieOMXhFuGu+T0HBATchKjsKIoi59w3PJ13zn0Ma/LYG0IymcSRI0fwwgsv4OzZs6jX632kHPcwU2svjqCdc5ienka73UapVOrbZ2hoyD9EGfFLWMncWoHWV8pjSDr2wQxcD9JSKzMuytzCRpxzm8rISoKUsRVqSVoytZK1jgWviW4AqxZwmy7goKQVZ9VrkJnKu9zP1sxWS1rJmlK9Xr9OStTKz+fzfilNOzHSMSDx67VRVVleXkYURcjlcn3XxD7Tqqffmm3ZdKrbhZvxe84if9P7FRCwnfB6ifkqJS3n3C4A8+vbLwPYJ/vtXd+2AVEUfRzAxwHg9TwICOYSHz9+HKurq7FRt/bBZrdZkkun09i9ezeq1aqvdUwiyOfzyGazA63QuHMM8mPaz5SU9b2SBaHWlLWU9VxKBnYclJisVUurUffVaGI9N61jtgXAH8vylwpNB4rrmyUwRVzRFJKZnfio1MztqVRqw2IfBK+dlj/dFno9Sui6v0rafM0iNJwc8L9+bzR2QCcHLLtq19a+Rbipv+cRNxFCyAMC3gBebzTJpwF8dP31RwH8tmz/HreGpwCs3mp/VD6fh3MOc3Nz3t9rYYlXZVEFH6jFYhHj4+NYXFz0RTyAtchvrlikbVnre5Bfmw9ttfRs//g+TobW5RjtA9451ycvKyENUgW0rzb1R49lQJJa78BGuVj9z3F+V72eQfnLdvxsn1VpUDlfc6mV9PQYbtN0J72P3JftUsrOZDJ+MmYndJpPTdWBkxhavpxo1et1LC8vY2FhAaurq34MGIhnJxYasT3oPt4k3DW/54CAgNdgMTvnfgVrgSFTzrlLAP4xgJ8A8OvOue8HcB7At6/v/rsAPgTgFIAagO+7BX3uw8jICFZXV32kcpxErVaglUjjrJCJiQmMjo7i5MmTvqIWAORyOYyMjHhiVv+ytqNFLPQclkiVQPifx2o0sYUlNe0Dr5MkrT5vtdJ5DD+zfeB+qVTKp0bZ0p3sC88XNwGxhTYGSdU6LnEKgY6T3mO9TqsuUIq3UeIkPRvcRfC8JGeN8KafWmVmtZrthEEnQCwR+8orr6BarWLfvn146KGHsHPnTq9QWOveukXeKO7233NAQMBri8r+zgEfvS9m3wjAD77RTr1W8KE3Nze3QfKLk3ZtwBUQb51NTk5iaGgIKysrfVHXQ0NDvrCItVwJS9TaJyVEu79tk6U3SbT62rZLkIQ1stgWx9CxU9IgEfA4riHMP+uDVQtT+6UWpBIUU4HiJk56z/g6Lj+b7arv2t5HnXzwmjQojZ/ZACu2oTnO3MbJmVUS7Dn1+knUGjTGXOt0Oo1Wq4Wvf/3rWFhYwDvf+U7cc889PuKeY8Fj4tSd14u7+fccEBCwhk1dkpMPS661DMTLwHx9I6iVNTMzA+ccSqVSH5lT0tQCHIRNDVKC1lQeaylrAFEmk9lApiqvartat9la50rmbI+rTdnzW2uX/WS6GKVYG/wVJ6fzOqhcaNS3EjnPqeOj94Dts02tdU7Zmp+TuFTm534kOlUBdEx5bSRu9tVOCnq9ni+nqbnpnGho//W1jlU6nUaxWMS+ffswOjqK1dVVPPvss5idncXXvvY1jIyMYGJiwtcg5/H0n9MvHhAQsPWxqYmZD8p6vR5LTvr61eRrEs3Q0BAmJyd9EQgNVGK6kFqaml8LIPZcSs7cZlN/KGWSSOIse2tBxlmJVi4n1FKNmyCohe+cQzab9fm1cdAJgz1WiZATJvaV/mgrwet9YPpW3D3kPR8dHcXQ0BBqtRqq1WrfOOm1DwoEZB/YNslfj49rS/34nPBoURa9PyRqncilUilMT09jamoKuVwOn/vc57CysoIzZ874oi0qyXMCAaytJR0QELD1samJOZPJYHh4GCsrK7FSnyUy3R4nQUfRWlrLxMQEGo0GarWaf1in02nk8/mBqzJZ36r6GNXiVYtQrSIex6AknlctVVqzN7oeK0/bwCfbD16DvmeZSVvogkSh16Sw6V70yaoFTStTK2fpBIHtsJ+M6lZCbDabWFxc3DDxANDnc3bOeZKPWxhCU670nllFQQPCdBx1/GwKno5xu91GtVr1i6KQfHfu3InHH38cFy9exPLyMlZWVvxEKJvN9sng7F9AQMDWx6ZexIJ+YLvakCVchSUh3ZZIJJDL5VAoFNBoNHzFKD4gdTEEAH0WsJ7P+i2BjYFL3KbkoGUcbTCTPqD1eDsh4Ha1Mi1RxE1IdCxIqnFjZ+X7OGjfdcyazaavxEWSirMy7T0iOZP4m81m38pMCvUTq7VsJyi8HkaTkxCt9c42lfh1GUy6Cihx6742HkB9/3y/e/du7NixA845LC4u+oVJ7PiwwEtAQMDWx6a2mPlgtQ91K+XGEbV9+HM7fci1Wq0voCzueLWmbtTHOALiZxpYZUmG1xYnPwP9D3pt35KwtaIt+ahFbv3bGtHM7dZyiyNVWr26NCajnKMo8sU07GTCXkPcRMhatnZSopI0reW4e6VkTUu+1Wr1+ZytjM6J12sJsGOfmROt46y+/GKxiGq12ien1+t1tNtt7z7R6w8ICNja2NTErDWj44jWWoPA4PKUSij0Oap8qhYTpVibOgRcl2HjZE99uOs51efKcwDwUrYGbrGPAPoify3i5G17/fa1ElichR3nu9Y29bxKztqOBnNpLrGdICh0Hy0momMS1y+1eHWb+o71eCoW9BnbNCu9Jt3GNCdK9xo/wGO4MAXTznjvcrkcisUi2u02JiYm/H5RtBaIVq/X+2ppBwQEbH1samKOk2zjgqQUcaSikidTY/hgtVIozxEXPR1HgCQm65PU/lu5W6VWvqdcHydnA/2VwOyxtk/sqz0vcL00p7XU9RyW8OPkch0TFh7RIhoaRa9kpATNNtTPTnJmCVDK3PRHc2LB9aM1LYr3TKFjwLYpwdvvEl/3er2+6G39vpB0uU/cfeV1MvK9UCigXq/7iYGSO1UG+qYDAgK2PjY1MdPKi/OnDto/LvdUA3cY5cuHpO4DbKxTrQSsUcokUyVK9T/bh7UulqCTAbZlFzWgJa1lM5Vw4yzJOIk7TpptNpveN2xVARuwpWOi42WDzFSu52f04VNG1mPtfeM4MJhL7zkJWaXxTqeDcrmMVCqFsbGxDRH0qhDoOfUaSPjW4ucEiQTMSROP14kDj9E8cL7P5XJ9Ufn0X9vvKMcqWMwBAdsDm5qYW63WhoApoN+6sQ989dXGWbj1eh2lUgkjIyN9FjEJi1HG1uq18nAcMVoLU8+tD3pbLlL3oXRKgqEPV2F9ynp9g2RoXQSi2Wx6C5LRwUqq9HlyUqTBVtpvEo3K+tZ3S2LjJED7pP3V69c+W5lZI5lplabTadRqNX9urWAWR3Z6vXqflMjVxcDlOLU/lJ557VQNVIXpdrtoNBp9vmVVBtTS530JCAjY+tjUxDw1NdUn71nr1JLfIALVYxuNBlZXVzEzM4N8Po+VlRVv5VAeVcvLWol6/kF9upFkrf7JOMufZMi+6NKKdoUl7QcnLtYq1/Pr2HBRBfpHdYxtPWhreWuQFI+JmyToPtqPuHum/+0EpdVq+QkTLdGhoSHk83n0ej3UajUfM6DnZVlOJWLeh7gxVGvX9lklbBaL4T2hiwS4boWrVG3dBnqvBgUOBgQEbF1sWmJ2bi1oamRkpO+Bbn2tun2QtWj3m5+fx8MPP+wf7Gyz3W77qF0lXiUcJT1rkSnx0tJUH2mcVWiJXc9Di0xTdfT6rQRrCZNtqbysJNtqtXzFK+2vVsnSql48FycWbJt+67g8XHt9GnhmiVGv3VqUTG+j3M3o+k6n4yOeeT612pkmZVOyBpGiSt9K1NZ3rpHocUqJdXPoOdh+3OQuICBg62PTEnMUXQ8ashaMEo99qFmJ0j4UO50OlpaWkM/nkc/n+0o21ut11Ot1Xx6RBGEtQJWSoyjylpmSloL7xZGntZ7U2qYlay1VlZiBjVHOlgx5Do1CJzGrPMxxYP1wXU1JlQPKxSprD1r5i5a/3V/vk5Kgqgy8N0y9Usu5Wq32TWB0wqRFR7rdrk9Zs6oD+2JVADvh0m3sp11+lJ/rYheDJPs4NUPvW0BAwNbGpiVmYO2hlcvlNiz3F0e8hH2w6kORaLVaKJVKGB4e7lu2kA9++hN1UQN7fn34qqXIh7v6UzWFh9ss2ZIgrB9Sid/Ww7bXaM9lSYCWn0ZGt9vtPulY5XydgNjUJeaA68TFWqBqfVKGtqSs6oJa0zxOI6i5TKMSLO+f3iudbHEc7BKLNr6A/eE46xjppEwnWXaMB1nAr+V7G6fuBAQEbE1s2spfzjns2LEDMzMz/r0lmrhjrLwL9NdTBuDTU/L5vN9uFznQPFfrK1YitelKNgrbPsQt4Wm76oPk+0wmg6Ghob6lGZWY46TgG/ks1YLm/iRkjRrmmOiEQicNSlL2/DpGvV7PS748j44p99Xz6naOM1fB4pizrCgnRtpXVtHipI4qgPqhOdnQ82jwl53QqAVuJ2L2HnK7ug9eTaa+0fc6ICBga2HTWszT09M4evQoqtXqDaU/azkqBlkojUZjQ2UqbU+PZ2S0TRlSS+9G51WC0iUKNUhILWfrD2YbzKEloejiEVZ2Vdlar00Jl8eQrFTKteTIa7ITCDvmdvz4vt1uY2hoCI1GA1G05qKwFiyADWqA/tdIbJXSuUQkS2+qpcux1LQnSs2aJhZXeeu1kOmgMVMMaudG8nZAQMDWxqYl5vHxcYyPj6NcLgN4dQtNYeVFa80kEgk0m03/MGdEbZwUawmSxBdnISlxx7VDQtb0I92X1iXb0iUIKcdqtLFK19qWBj+xXWsp81rVcrT9tuRIxAXa6fks4apPlgFn+Xzep2ppG2qR275wMkUfMv+4fZBvXxcO0cIkmt6lEzW14PU6NXAsbpKi3w3rPuB7dV3omOqEIiAgYGtjUxJzIrG22AQfoNbqGOSPG2ThqPXKfZrNJnK5XKyvj7AEZ61ga/HoPnGEbaVNm9ZE0uAYELSWWahD/bV2X+2Dkq9VD6xrQH3zaqVqezqGOgYq+Wuf7BrKmpOtkyzrz43zN3M/+py5trVavnEyuY67+py579DQkLeiSf6EjYC346PXbvtq99fx07G7kdshICBga2LTEnM2m+0r9AHEE3Kc5aafxREvC0aMjIz0LSShixtoaUwlG0sYPGechUxoLq3ti1qt6gNNp9M+IlnPncvl/LEMhlJSVRK24xXXtzjLn4gjple7D3a7jg2vRctd6j4qZev+ej0kUl0qkhK1pkNpX61Vrn0lQdsqa/wOcHw5rqqIDHIB6HjZ13biFjeGAQEBWxubNviLkufQ0NANfXBqeVkSsr4/Pviq1SparZYvVMH9O52ODwxTC00frHH5p+yHnoOv9Tjdpr5la/EqCdpKZAB8DWauH82+WItY21MrWsdI+xw3znGTG2td27asRcjrZ0625mWrDAygL+jORrLTz2yXrFRLeRC5MWCM48U+28peto64vf9si6VGNWvATnKsi8G6E3Ssg8UcELB9sCkt5nw+72shT05O9sm2r2Yxx0m2iihaS4taXV3F9PQ0hoeHcfXqVU/M5XLZp02xDbWSVb60luONJhA8d5wPmqBcrak/tMyazaYnYl5DJpPxvlUtdqEyK/tvJyn8TItnaL+0HVqOlnwJe03cpmNBArTkxevWNCirSMS5AZjSxTY1mIzEbQPgqILERWbzXpC4NTgv7tp4Th1HHVsld7ZtvzsWwWIOCNge2JTE3O12UavVsLKygqmpqVhfMBBPjMBg64MPy263i5WVFRQKBeTz+T7rtFqtolar9VlObNumT1lysg9h7aNaUdaaBRAbpazvWQykWCz2BSqxAlaz2fS1vrVtJd24ftoyn3FjRjK06URqNdvrZJt8rwFwanlqv0honU7Hp0LZe0fovWC9bOdcnztC+2jzu7UONoPCeI08n45RnOXLYD2SNGMitH8A+iRvO9av9p0NCAjYetiUxNzr9VCtVrG4uIj77rsPhUKhz6eo+wEbU6gGvef/breLUqmEfD6PQqHQ9zCtVqsolUpoNpvex2utTitt8jw3ilbWaF37kLYPc33wK3mx+ImuWkRJe3Fx0bdFOd6ODdu+Ub/jJg22rTi/NVdcUkJTq1mXgVTlQUmaxNjpdNBqtTzZWnncrvesaVK6nrNei44tx1R9yOoO0QkIj2G/2M9EIuFld5svz1QuzXkelIYWEBCw/bApiZkPv9XVVURRhEKh4D+zcvEgKdvK2fpg56o/nU7HW6AklWq1itXVVVQqFUxMTPiH/o0kaEtqaikquaqsq/vcyC/KNkhuXNd3YmLCS9zFYtGTB9ulz5QYVLtZpXolrThQ3rVjoRaqvU6FBrPpqmF27CjVa19IipxI6P20kjOlcaansS9KopxMMOiO48zlF+1ymJZg9b22a/tlx1jHJ27SGBAQsPWxKYmZD9pSqYRut4vh4eEN+aHARklw0GeDZENKpvpZq9XCysoKyuUyms2mDz4jOd+omIQ+kIH4RSfUYuR2255a2La2c6fTwcrKCiqVCkZHR33hjnQ6jaGhIU+cjOrWFZGAfrKkf1nPo30gyWk97Tj5WhexUP9tXI6ypjjpPhpQxjHS1a00Apvycbvd7lvlSWMRdLz4X6V0ytdWZlbi1yA19olkrgqAvX/qS9fJBycJnGToPQgICNg+2JTEzOAvLUYRl+ZzI1LW7YP8nlF0fflFfSCXSiWUSiXU63UUi0UfhTuoXXsOJZlOp+ODhEhutma0JTolc+0nz01Ju9VqYXh4GJlMpm8lKD709Vzab5XK2baVq3VyQKJnWUueo9vt+gkBiY6Bc0r02raSsS5sYUHyIgnTwtXJBn27Nidag7qYBqUytaZrxVmx/N/r9XwZVB0rJXSF/R5o1L2SL8ebS24yKlwjxgMCArYuXpWYnXOfBPAXAMxHUfTm9W0/DuB/BLCwvtuPRVH0u+uf/SiA7wfQBfC3oyj6/ZvdacqY7XYbKysrKBaL3jK0VarURzrIv2t9e5aodVu320WlUkGpVPJyN+VsKz9bmZLEMyidh+3Qko6zYvVhbi0xfcBTml1ZWem7NjthiMvBtZKukqsNcmIblHsLhQKy2az3z3e7XVSrVSwtLaHX6yGbzSKbzfo+aqUt7Q8J1lbs4jXTStfVqXicBmvx/tiJBK+T5M0JTdz9433jpIHHsDKZRn/HpdLZXHKr1uiEiderkn2v10Mmk9lQuez14G78PQcEBPTjtVjMvwDgZwH8ktn+L6Io+ind4Jx7EMB3AHgTgN0A/sg5dySKoo0L8b4B0BrpdDpYXl7Grl27UCgUUCqV+vbjwy/O6rKyqN2uD1a2xdfNZtNbzO1226co6X5W1h5kRZPcaAHS4hrk17UPdsL6qtVyVVKw0qkNQuI27l8sFn15TCURnpPnzWQyKBaLGB4extDQELLZLEZHR1Gr1TA7O+sjwrlalUZLa/oX/eL08ycSib7SnDppIZHbil3sOy1NEqm9/xb6fRm0EIX6z5n3XKvVfNlW3T8uzcwqN6xQpv3k+akwVCoVDA8P3yyL+Rdwl/2eAwIC+vGqxBxF0eeccwdeY3sfAfCrURQ1AZx1zp0C8DYAX3j9XeyHtUQWFxcxPDyMsbExzM/P96WzWGlWrmnDe6BfprW+Wz2OaVMaQEX/YpyP2RJpnF9ZyTSKIl/YxE4qNGAp7nrU2qQFyAe+VtZS6059niTaVCqFfD6Pqamp2EmCVQI0RYukubS0hEKhgOnpaaTTaVy+fBlzc3Oo1Wr+GhjkRXJmnxqNBtrtNmq1GoDraoIWGGEKmN4/Thxs3WqOrx13JU+1qO09snnXjDWghM/vQZzf3E6u2LbW6Ob+vBfNZtMvndnr9TA7Oxs7mfhGcbf9ngMCAjbijfiYf8g59z0Avgrg70VRtAxgD4Avyj6X1rfdNPDhxQddpVJBr9fD1NQUzp07tyElB9hIrvqfn+tDl9IsLcF0Ou0tGhJfpVJBrVbbYBXR2tGAoDgoWevDmaUjtY82sE37aQOT1NqypKKVtWiNAfBWq83jLRQKKBQKiKLIE6Tup2UuafUB/ZMHWt1M09IJDUmHSzAmEgnvS2UQF1ecorWo5TbpSlAS1gIkvA72SQmZxyiRc2w4obGTFo65vtYynfY8vK826l6tf46r/d5xn263i1wuh1Kp5Cdrtwh35PccEBCwEa+XmH8OwP8bQLT+/58D+GvfSAPOuY8B+Ng3emL19SYSCTQaDVy7dg27du1CsVhErVbrI1lF3DZtUwmOMipLKqr1Q1KglA30R9eqbB03OYjrV1xerE0ZIiw5WJ+xBj/RZ6l9Z0AUAO8PZpARrelMJuPrbhMkXFqmJB2dBJDscrmcH8dsNoter4dCoYAdO3b47c45jI6OYufOnUin01hdXfW+aI1stvnAvBZ9r2VJOYHSCYlOUAYpACRybV8VkDi3h37XLIHzHujn+l59+3ZSqPcvlUphamrKZwjcAtzU33MW+Zvdv4CAbYXXRcxRFF3la+fczwP4z+tvLwPYJ7vuXd8W18bHAXx8vY3XXE0hm81iYmLCF8xot9tYXl7GwYMHUSwWsbi42PdAHfTglP737cP/jUbD1+K2vr1oPSiHRUbUQtPXSpratr7Wvlmy0basZUao/5iEpkFKfJgrEfV6PeRyOQwPD2NkZATFYhHpdNrnaAPwVc8YZMdqa4yUtgFieg1WMaB/Op1Oeys8lUphZGQEu3fvxvDwMNrtNur1uh8v+qDZhlbXsqlbClsqk6+pCmjfNJpeJzdUSrSE6SBytdvtd0vvt72ndBlwjPX+AOhbD5xFdG4FbvbvecRNhOooAQFvAK+LmJ1zu6IourL+9lsBvLD++tMAPuWc+2msBYscBvDlN9xLA0qm9Buurq6iWCxidHTUy7RKkje4Dv/gtg/nVquFWq3WtxCE7UOtVvN+QH3AD8o71Ye87dsg0ibRWWiaE2GtZbW4eZ2ZTAajo6PYsWOHD9bKZDJeNq7Vat6SHRoa8tdHeVWDt3hOe31qebfbbVQqFd8X9mFoaMjXIqfyUa1W+6RlnsdKw8BGhUL/qxTN4wD0TVp0bEnQ3AdAX3qZEqZNG2NfdDLAz621bO85+2XvGb9fuu8ttJbv+O85ICCgH68lXepXALwHwJRz7hKAfwzgPc65R7EmfZ0D8AMAEEXRcefcrwM4AaAD4AejmxjByYcdZVBaUuVyGd1uF2NjY31WhQ3YGUTW1toF4NudmJjwD0W1Alm2s16v+5xTkpf1c+rDXf2MKv/az9VPrISk/meVXtUKZNETWly0uBOJBMbHx3HgwAGMjY354xhotLKyglKphEQigUKh0Fc8hf+11jTPobKv+lOTyaT3GbOgSSaT8QFl+XweqVQKzWYTlUoFlUoFrVarL4hMJW1eC8fMnouTIk034j5MseNntuIX27fys05+7Hckzmq+0Xb+V8tfgxWtC0OVj7jMgteDu+n3HBAQEI/XEpX9nTGbP3GD/f8JgH/yRjo1CENDQ8jn8yiXywCup7UwFYcpJZasCPvQXe9vrFzZbDZRLpexb98+5PP5vvV46dMsl8t+tSlGPBP2Ia0P9bjzW9DiJDmqVK3kTELUdCeej68pRY+NjXlLmdLo5cuXMT8/j0ajgXK57CcYzWYTtVoN2WzWLy1JouA5SXJqPdPnTsImMeuiGszJVXm5Xq+jUql4kuUYcbEKLdphLWf+VwLktWtQmiofmhZmJ0NsO86twPfsh5Wn1WpWgtZ+W+LWtkjW1vdt3SKvF3fT7zkgICAem6ryF6VrLa/IXFWW5mSxCGAwOepnaqWqnN1oNLC4uIhkMonR0dENRS6iKEKlUsHq6ipqtZpf4UoXSbCBWVpLWicC2jclAEqySs72ekg8jCpWq4xESll4dHQUiUQCy8vLfpJTKpVw7do1tFqtvlxqqgIcb7U+lRSjKPIBSgyY0304cXLOeSJOp9PIZDLe9xxFkV8YRFPOSKR0T1CdIHQywmtXaZpqAPer1+uxVrOd+KgiowTPexNHrnHfIftd03uiSoTuqzW8Ofmx35WAgICtjU1FzLSaCD6wWOYxn89vSCmJs0714akypvp/6/U6rl27hkajgfHx8T55lP8bjQZKpRJWV1cxOjrqH7aackPETRa0H7bPSs6WdGmxa/CQPuT14U9S5dhoENnKygqWlpY2kC/b1ImQlqnUfqs1p4U51HpUGZmkrNLz6uoqVlZWvLVNMuR1aSAYV8ZSgtbqYNw3kUigWq325TkzmMumc/E/o9VJhlqFixW4eA69r2xfYxX0vsZJ7nZioKoHj+HEAoCvYBYQELD1samImcFNlHBJHqyZzdKcJCW1WFWW5P9B5Mhti4uLaDQamJ6e7pOq2W6z2cTi4iIuXLiA4eFhTE9P9z2k1bKy1rr1Y5IULXHTghsaGupL27L5y0D/ClHAGsHlcjkUCgW/Slav1/OTl3PnzqFUKnmyVvkUuF6PWiOZNVKZYH/UhaCTAt63Vqvl85iHhoZQKBRQLpdx7tw5XzqU57MFQoDrUjRzmzmOJDRa7vRb08LmfiRtWuvOOT/x0EkXZW5NNdMFOKz7Qe9ZnApiCd3mgXNCoBMq/b5y4hms5oCA7YFNRcx8AKrc2ev1vH90fHzcF6rg/nEPUkuQcZ9RXm232xgbG/MPcu0HZfTLly8jn89jYmLCW0Ra51ofsnFyOtCf06qWKY+jJMvgrqGhIV+MQqtoOef8GswMruIYMR2pWCzi2rVruHbtWp/fWEEyZQAW+2stc6Yi8b1OGuz1UY5uNBreUl9aWsLS0pJPT7KTGR03fU/Llm3ze0EJmNaySvnJZNKXC9VJjl4L750qB3F90u+kJVL7fdJ9LLnSFaFqDScC3JfxDYOi/QMCArYWNhUxU+7T2tSU+0qlkiclJVxrlRLWt6ev+WCsVCool8t+YQZL4nyYz83Nodvt4tChQ95qJomxPrRa75ZkLOFp/4DrllWn08HExAT27NnTJ+uSkJiG1OutVZSan5/3vmOmKbEIy7Vr1/rSihiExXNzrC3RkKh4nJaitPIsLW4Sta781Gw2veU7Pj7u5WJdLcoSnB6v94Akyuh5XcrSqglqnca5NGxpUPv94z464bM+d/2+2QAztcy1TR5vU6/YBmtqBwQEbH1sKmIG4K04DaCihQTAW4nWuiUs0XAboQ9aFr1gTq/djw/MVquFhYUFnD59uk9O10hbG61r+8B9eZz2S4OFGCGuVcc4BrSMWSeb5KKf64pOemzcePB4jb62Pn6VgZW0OUY8TqO5SZyaYsbrZE61Ehn7QWK2/UylUn7MuW82m/XjpLXB1Y9trfQ49cQu8DEoFS5OdbHWto201sliXC61TnR04hQQELC1semIWSVWJZBKpQIA3rK1lvAgKZLb1NJRXyDlUJK9fZj2emu1nldWVvDss88in8/j/vvv935clXnVL/5a/YUaDZ7NZlEsFvuO1Qc607ZyuRzGxsa8lcXiISQlABgZGdkgZccFkHFM6MuN88nbtCJalOrX5TjT96uTJ7ahRKRLJWofNOKatb9ZNpWyMM+pda5TqZTPp1Yfulq7GgBHEmQ/VKbX7wnHLm7REx0XWuJUe/g91v2tfM1+24laQEDA1samI2YA/oGsvl61mDXyNc4/ackV2EjOPMam1MRZupRiV1ZW8LWvfQ0zMzPYuXOnP46kQEtQLUolRttPjf7l5CCdTiOXy6Hdbnvpl3nG6lNNpVLIZrMYGhryVnw+n/ekMDMzg1qthnK53OevJ6x/NY4UbHCT3g8lIrX2GN2sPnVti2PONuMC6OjO4HhQNtfIcfVDMyBMLXyV3m3QnAZnqcUcN6njWPG67TipvG1T0WxQmFrEOgnR8QgICNj62JTErOkyJDeuMsXAHmvdAje2nG2wFfexRTS4XR+2XB0JAC5evIiLFy9ix44dGyRaK5vqOVXStURA8qZ/dGVlBQsLC56IeV2aNsTJSqVSwcLCApxzGBkZweTkpC+Dee+99+L06dO+YAv7k06nvcWvE4a4MqBKJrrIhRKLc2uFRarVKhqNRl+QlY6nTlhIRnoflXCZPkT5Xv3dyWSybw1nvS4NdGMwnZ2ksQ31s9/oexIXda0SvAZ/aZEaTSFTmV9remtaXEBAwPbApvy18+GsgTKUa3Xd4ThfHjGIuPW1SrM2j5hWT6lUwujoqLdOL1++jFOnTuHw4cMYGxvrI7RXKxah0mdcn9rtNi5fvuwf7iQ9QmtY67FRdL2meK+3tsoTAExPT2NiYgLHjx/HtWvXEEVr+c4sx8k0NJJ+nJSsvnQlGxIhxy6RSKBer6NcLnsLVuVye0+UrC0hq1UcF1FOhcCuv8xz2LKmSnokeEbB83NrzVrJ2gZxxakvLJQCXFckdLz4ntH+tVrNL/zBFboCAgK2PjYlMQMb1yJmvq8WhVBYq8wG7Fhwf12XWYmC5LC0tITh4WGMjY0hkVirJX3lyhUsLS1hZGSkL3WIfk99wNqgISUcK7nT2qRFq3nDtka4ysoAfG5vrVZDqVTCrl274NxaVbHHHnsMJ0+eRK1WQ7FY9NY9x9muWUwSYUUyC5JuJpPxkno2m8XFixc94bHICMdAiZNjoefn/dXgP04O+F1IJpN+UqElVBVxgVpaupRSO/OurU857rvFcVait1J8FF1f+1knHxqxzrQpTjT5v1KpoFqt9sUIBAQEbF1samIGrpMZH2Ia/BWX8mJ9yXHb1ZdJK5zR3pZYa7UaLly4gHK5jJmZGR9wpRWn4vzacb5vnptQnytzlK2FyfZsCpFaYRqlTau7VqthcnIS+XweU1NTOHDgAOr1ui9vWqvV+iRZHRctJsLtJGEd03Q67ZeWnJ+fx/Lysg/Q4riqZK3QxR3oR+f16D3QPmYyGR9oxuNY5tNGgOt5er1enw9ag7KsVa8+cb1vVnpXOZ/nsd8v9bXz3qiVT4KnShCIOSBge2DTEjMffmqR0PpRS8ySr/63ZKj/+eAkgXDNYtZ95vHMd04kEp7oGJTENuJk8ziry0Yhcz+Snr0mfajbco4kFxI02+ADfm5uDqurq5iYmECr1epb2EJlXLZHwrKyrxbiYNoSJzD5fB65XA7z8/N45plnsLq66icR9Xrdr3VtffYkb14XC6PYVC1N51KwxjcXr7A+WiVT5pprvjd95TrhUaK2Mrv9Tul91O8o/cdsh5/zXMlk0veD+5DQuTJXQEDA1semJWagn0htwBHlXGuB6n/1QVvQqmXhkomJCeRyOVSr1T6ZWQm83W6jWCx6+VsJHtgYYRxnKWpfKYsqeQ3yT2tRDF3fV32qvC6VT1dWVtBoNJDNZjExMYHh4WG/H4OSCErXrVbLy66U1XmdhUIBk5OTqNfrAIDFxUWcOHECy8vLnsg5Fo1Gw1u5en2UrjXyXK1PG/jHKH1N++L46ZKdSu4kSRI2S3NqYJj9jum5OUYa0a7fw7j7pIqDLW2aSqX82t9cLY0+/E6n01d5LiAgYGtj0xKzfQDywc3AoriHpH1gqq9P2wWuL2G4sLCAdrvtl0ukHGstpU6ng0ajgUKhgGq1usGfrbJlXICT9X2r/5z9sVI2YaOlk8lkX8UxDYiLq5yl+/IaGMHs3Fo9aY7p4uJi3+IQmmdLi3l4eNhHx6+srKBSqfg1hknCTPEigWs0eaPR8AFYuia1+s51rPRatHQpJ2m6YhPJlFa5TuRUblYJ2yodVqXR75m+1++JnRzxXK1WC1evXgUADA8PY3h42E90GATGthqNxoZ7HxAQsPWwaYnZEhoA72ekP5b76X9g8IL3Fr1eD/Pz87h27RrGxsYwPT2Nq1evbqg+xQdnpVLB2NiYLwISR87aH/o2rY/YWvTAxlQe9cGyr7ofA81IoCQfnpfExcmMc84TYaPR8DK0TnSuXbuG1dVVlMvlvhxb9oO5xJVKxVuj9HcXCoUNKgD92VwuUqVbWsrA9RrYnJjovjq+JC5ORKwfXMlWrW1NYbKFTdTHDmzMVeakwSojFrwHbJcKx+zsLF555RW/CEqn00Eul/OVzPL5fJ8CEBAQsPWxqYlZH7rM281ms35dZkrKceRMxBG4Ws2rq6s4e/Ys3vnOd+LgwYM4f/6893lakqXMbeVPtmX7bkkmDmr56/FxbSqJMGqaknCtVuvzUwPwtbVJsCRylXVZe7zZbGJlZQW1Ws3nCZP8SFYkORKgyrvqWuBxNrqa18HUNy0GorKu3ke11p1z/vz1et0TNMeZ0eYaqc57wUnCIF+xVTDi7oMlcfv94rhom+l0Gjt27MCOHTswNjbmCZuWMsG4gICAgK2PTUvMAPy6x8CaJbO8vIxCoYCdO3fi5MmT3loc9EAd5LdVcm42mzh58iTe8pa34ODBgzhx4gRWV1c9OWt7tBbHx8e9dWwlTSuBEpZ4b+RPtg9/9XXqpIIEqvnTnBBkMhlMTEwgn8+jWq32ldvkRKfXWyvYEkURLl26hNXVVZ/+lEql0Gq1UKlUNlxbXDqYTRtTK5hkSoJWq5WWuBK9jjmvhdI7g950kkEVBbiuNrRarT4J24LtK1nrNdn4gRv5l61VrS6JiYmJDVXM2Caj1+mOyOfzsd+HgICArYVNT8xq8czNzaFWq2H//v0YGxvzhEOohG0tbsJazu12G+fOncOLL76It771rThy5AjOnz/vI36VdEnMXP2J7dCajJMjGZxl038ItUBpbVkiUQsVwAYJV2Vg9mF8fBzFYtE/+ClN06pOJBIol8t+Wcb5+Xnk83lMTk76yG1dSEN9xBrkpGNgx5z3TYnZ5g1rTrD1zSt4/SQ59oMpYMxr5jjQt67+3rjvRVyxkLjvjk569HvEfXTCpJOVoaEhX0613W579ULXlo6itSC70dFRBAQEbH1samIGrq9BTIv50qVLOHLkCPbu3Ytr165tSG+Ks0xtEJbdb3V1FS+99BIefvhhHDp0CM8884xftUitoU6ns0EyvtHDWis96XZ9+NO6Yxu2apUGM+l1AddJQPuTSqVQLBYxPDzsyYDlREulElZXV30pz+XlZVy9etUXJDl69CiSyaRf2znOT28l7Dg3gkY8W4uTr0lQjEZWn7OVjjUtigtVkJwZCKf7qFVulQntkw2So594kMKi9yPO/UALXSdb6XQaExMTG+47sDYp01Wzgo85IGB7YFMTc6lUQqFQ8BHFpVIJZ86cwT333IMjR47g3LlzqNVqnuAAxD6INQ3HBvZE0dq6x7Ozs5ibm8OOHTswMzPjI2ntw5KpPjye/+OIM+4z/VytSufW6k1rv7X/cSSi1jgDzYrFIsbGxrxFOTY2hlarhXPnzuHChQuecJvNJiqVClKpFB566CHs2bMH2WwW9XrdrwNNudyqA5aQrcWoUjX3pVXPYiqUuukvZoBWIrFWm5yBZmxX/dFKvpoeRaK242/vib2nek03uo9aJ1z70uv1L3XJNDRd5MOe08r2+h0OCAjY2tjUxKwFG2hZXrhwAXNzc9izZw927dqFq1evemvJwlp7g9DrrS0cwXYnJiYwNDSEer2+oRIYZclarYZWq9WXC6wkwMmAlmmMs+yVeG1AkBZS0fKcGmjE9ugvHh4e9uUfM5kMKpUKXnrpJczNzfnKaVyhi6+Z6mQt5Tgys35uK/nGWckkKAZnsW2uh01CZZvJZBJDQ0O+jjfPo7njDHqzMjX91TrmOnGI8ynrden1aaS8TvDYHovMaPUvdUvw81qt5lPSWKCFrgVOKFhwJSAgYOtjUxMzH64s/NHr9bC8vIyzZ89i//792Lt3L15++eUN5TFv5GMmNEjHOYdGo4HFxUUfqWz9uDyG6T9cSYlRzzw3938161JfU64nsbzaSkPabz7Yh4aGkM1m/QPeOYfl5WWcP38eCwsLyOVymJ6eRjab7ZOD2Ua1WvUTHPbXBpXF3R/9z77xT61uRtWrv1zLXLK4CXOfh4aGfPlT7RevlzI9idG6E5ScGfGt/dPvl94z+x3iWOtyjureYJ/UAuY1UplgARXGNHBCUiqVkM/nfXR9QEDA9sCmJmYAfj1hkkSj0cCFCxdQrVaxf/9+jI+P9605TMQFEOl2G6xD4uh2u15+VPAY7letVlGr1TA6OtpX6ILniJNL+Zn2RUmdx6tcG1dhTK+D5ESfK4mrUql4NWHnzp3ewmNkMNunAsAAKktO2vdBvlebh0sS5HZVHeJkZq7cxWMGLX7BIhwM7NLvhVqqg6R3+uA5YbA+YuD6il72WpVsCQbJDSqSwm0sKEIfOt+3Wi3vYx40+QkICNh62PTETF9joVDwEb7Ly8u4cuUK7r//foyNjeHy5csDFwCw1lEcafJBXK/X0etdXzXJSqK09BgJXKlU+sgozlJWWZf9ILif7mMf/lbe1Lxilaz54GfkeKVSAQAUCgXkcjlP+iRynld95oNSg+KUAL2mOCLTcYnz7dtIdZWgSZwa9KaWKfvAqG69Bl6XWsj8zyhofo9Iwqqe6HF6H+0iFRqUpzncvEc6Djpx4f9cLoeZmZm+iUiQsgMCtgc21nc0cM7tc859xjl3wjl33Dn3w+vbJ5xzf+icO7n+f3x9u3PO/Uvn3Cnn3PPOucdu9UUwsIkPNq74lEgkcO+996JQKPQ9HK1f0b7Xhz8ftr1eD7VaDd1uF4VCoW99ZoLHkZjn5+d9vrOWrtR948C+KsmQaGy+rwVJiH5JJdxqteojrSuVCoaGhpDP5711qWk7tJIHye86sYj7zI6Lko5eAydM9n7YCQgnYPQBMzeZkrZa+FrJixMNvrfWvRKujZCnxc061oVCwedMU+q/kUuEEnU2m0WxWPR/2WzWV1Wj+kK/OXPENTfbRuS/EWyG33NAwHbHqxIzgA6AvxdF0YMAngLwg865BwH8CIA/jqLoMIA/Xn8PAB8EcHj972MAfu6m91pA+brdbnsZlvWHr127hoMHD6JYLG4g4UHSsf7pQ7HXWyu5Wa/Xkc/n+xYVUNmbEmSj0cDCwgIWFxc3tEWorBkHJSc9Vits6R+Xd6SlzLxYHtNoNFAul1EqlfoUBJLlIElZ38dZ9va64va15GhlfTtGJHFdgYr7pNNpZLNZT8icINjJjgZZ6UTKfhe035SWeU4GnukiIRpYpufRSZRGxpNwueAHFRedTFrrn6qBSvE3yc98V/+eAwICXgMxR1F0JYqir62/LgN4EcAeAB8B8Ivru/0igL+0/vojAH4pWsMXAYw553bd7I4raM0C8IS5sLCA8+fPY3JyErt27epblIGIIw6FlU1LpRJWVlYwPDzsyV5Jie03m000m02srq76FCQShJW04/yzlmDiHty8bvVfMnCIEwPgehEWWpK9Xs8v8ci1i2lh6wRDEUdodpyUYG1d6zhlgmOgEx9t2y46YdeUrtVq3o/PSQhl41QqhVwu51drooWdzWY3yMrsu64nHUURMpmMJ2MGnDUaDe8zttH4dsLH/2yXZE5FQleP4sSh1Wr5dDRONvUe3wxsht9zQMB2x2uxmD2ccwcAvAXAlwDMRFF0Zf2jOQAz66/3ALgoh11a33ZLUalUsLi46H1yjUYDs7OziKIIe/fu9Q9owlalGiRzqwxbr9exuLiIfD6PsbGxPt+gts260gAwPz/ft+gDrVNgo3wbJ7OqnK6+bPtec6etv5PbSW60CklEhJ0s6Hbtr+5nZW3dT4nZjqk9lyV7DZgjiSkhcrENkhfbYsqRc84rB/V63U/ctGAHJwaUk3u9Xl9FM/bZ3gMNDLOTGWstczGRRqPho/XL5TLK5TIqlYrPs6d1rBMQuiNIzDfbx3w3/54DArYzXnPwl3OuCOA3APydKIpKRgKMnHPf0JTeOfcxrEljNw1cX5hrCjPqePfu3RgaGkK1WmV/tR/+tZVnrYXabDZx5coVPP7449i5c2dfoQtto9vtolwuY3x8HCsrK1hcXMSOHTtio7N5jrjIWxukpAUstKAGz0l5NJFI9EVRq1WqxynJ6liQVOJe29xo9kulZLavxU2sRczXdrLE/dRatQqBzR/msTynlvm0Uem0YDm2uVzOqw383K3HBJAg9d6qRW+/O3YCwxx2uhf4Xy1wFnzRUpya0jbI7fJGcSt/z1mEmt4BAW8Er8lids6lsfYj/uUoiv7j+uarlLTW/8+vb78MYJ8cvnd9Wx+iKPp4FEVPRFH0xOvtfBwob6ZSKdRqNSwtLfmgG5VYpR8b2oiTXgH49ZlbrRZmZmYwMjLSR5baJvN+E4kEVlZWvE9XH7L2YU5isSk1wODAH5KhWu9aTUqvJZFI+NQj9T0r4eh162vrQwX6favWH89JhyXkODlbr5NSNIA+C5n/1dfKsWK7upBFq9VCq9Xy0rMGUA0NDSGXy/lgrkaj4QP7aJnbetWqAJBE49wS/Iz781ootzu3lqu8urqKSqWCXm9tVTJG/NtxVDXgZuFW/57TGLppfQ0I2I54LVHZDsAnALwYRdFPy0efBvDR9dcfBfDbsv173BqeArAqEtktB3NZSQSrq6s+KtYWmSBuZMUpefR6a+szz8/PY2ZmBnv27OnLM2XblI1XVlaQTCZ9ZSdL9HHnt1BpOi6wSR/e7CsraSmZAGvrFDMaWIlZz6XWtO2HJWz7uUrX1lLmPvre+miVxO26x0p0mUzGr1msqoCd1HD5SFqpPJ7BWM451Go1H0WvVjRX0SoUCj6Kmn+MmOY40i3A8eH3jedg0Bct6CiKMDo6it27d/v1lvUa474Xcd+b14PN9nsOCNiOeC1S9tsBfDeAY86559a3/RiAnwDw68657wdwHsC3r3/2uwA+BOAUgBqA77uZHX4toJTJHFY+yOMebHHb1H+q/6MoQqVSwezsLA4cOIB9+/ZtWJ9Z/ZLVatVv12IRSvbWygT6F3lQotfiFnEysPbf1oSmlKoEavOHtQKWkr2Ok7Vw+Zr9su1aS9n6pnUslFi1kha3kVhZT1vHGsBA+ZlpT5zkAPABWFQyOLliaVBK6bweXRaTkxr1nyu5ZjIZv3gKI8dZIKXX62F4eNj3mylptKzZf+1z3Ji/AWy633NAwHbDqxJzFEV/BmDQVP19MftHAH7wDfbrDYGkODU11Vd3WKVXK0Fa4lFC0f1rtRrOnj2Lhx56CPfccw9Onz6N1dXVPguRbTQaDV8vW2tAKwnzHJYI9TMSsyXiOJKLI0VODGq1GpxbK16hD/y4YCZrrWqwlI4HP7fWtCVunZCo/1TPQSJTiVqhK0L1ej1vuQLwdcRJ3lG0FqxXr9cBXCd9K4frYhjch+PN/yT6Xq/nJ3uqSjBfnNYyg7YIfgdpievEK5/P+3bpH7eTAU0Je6PYjL/ngIDthk1f+WsQms0mMpmMf/BZ2dSSCjA46EmtrXa7jUuXLuHKlSu45557sHfvXpw/fx7NZtO3z7ZZY5qvrZVoiXiQv5sPZfo/+aCPCxDiMRqQxgc/rTaSmV5/3KQgrh9WSVD3gFqNSma0fkmYPI/mYrNfLLqhOb4kSFq4akkykItWLH3DJO7Jyck+cuOfkl+320Uul/PpVHaCRVldLW6NsOfqVyRmWtrdbhe1Ws0vCML8a/Uba7CbRp7b7wnHNSAgYOtjyxIzJcGxsTGfBgMMLpwx6D23kQSjKMLi4iLOnj2LI0eO4MCBAzh27Jivx61WI2tSd7tdb7mpDzaOpC3BqrVq5WwlQwAbCEonI7QAlejZHy2UweuNUxBsfwdJ0ro/96GFqefIZDLeD8zJBGtd6xiSlGlNcpKhcnOcLJ7NZr2sr1K79pmBYLowCc+p18/vkx7LQLN6vY5qtYp8Pu/vkUr6NtVLl3tk281mMzY32o5nQMDdguQDh1E7MObf58+toPviyTvXoS2ELUvMvV4P4+PjmJiY8AE+wHXCipMFB8nYSoBRtLYi0KVLl1Cv1zE1NYWxsTFcvXp1g7+SgWiaGxsXLa0Ep32w/sUoinweMn2X2m8bOEQS0LQvJQ4lGDseVtq2RD1oQmOlf7oRGN1sq1nx3CQ+jle1WvXEp22TkG3AnfabLgvNZ6YFzRWpaJWq35/HM5+Y72ntq4VN6Zzfh1arhVQqhWq1isnJSSSTSVSr1Q2TKRZGyWQyGBkZ8XXM49LJ1D+uEd4BAXcaySOH8KZfPoWf3Pms3/YP5t6C3/qjp3Hwf/nCHezZ1sA3VGBkM6HdbmNxcREjIyP+wTnIf2oJ0f7Xz+mvvXTpEmZnZ1EoFDA9Pb2hrjEftI1Gw5fypKxJKTnObxhnFWm/KaerRaef67VpkJIWWNHzWvK3Uj7fa/Q2yUsXV2CblrBJyiRF/lGuzmQyKBaLfkyYq8y1n5lf7Nz11a+4jjGVEA0Q07rWyWQSpVIJy8vLfXnVwPV1s3VSo/EIjKIm8bJfPB8AX+Etn88jn89jfn4ec3NzaDQaSCQSKBQKGB4e9nnSyWQS4+PjmJ6eRj6f9xMVdQFYRUNTtm5GreyAgDeK5JFDeMd/eKGPlAHgJ3c+i0/8P34OySOH7lDPtg62LDH3ej3Mzs6iVCptsCxtsFKcf9X69qxku7KygtOnTyOKIuzcuRP5fD7Wd9xut1EqlVCr1XwFMM0zZvv2nCoXq0+SVjMJy+a6qpRLotGgKLXm4+pVW3k8bqxsH9X6VsuPBE4C1nrVaklruUyem681d5j1sUlQzFPWaHKem4t2rK6uYnV11fuAaYWXy2Vv0fJ8CpWZuVIYpXTK17Rm8/k8RkdH/T1lv2iRF4tF5PN5/70YHR3F1NSUT5XS67b3Ue9dsJgD7jSSDxzGm371DH5s6uXYz9+VBd70q2eQfODwbe7Z1sKWJWYAKJVKuHTpEiYmJnyuqc11VVgSAuIl2kQigWaziZMnT2JlZQW7du3CxMTEhoITAHwVsFqthtXV1b7Vptj+oEmAfs7PgOtWpfo8lXi5L7fpCkb02yqp32gcbL94fmCjdK77aWqTlc55XdrnoaEhLz2TsJm6xLrX/JzHUz3geGhBERaayeVymJiY8P2m3395eRmVSsWnkNmxoLyuQWc8dyaT8ctlUgEoFos4evQoDhw4gHQ67a1rzZ9Wn7mOGydrNuUtLt4hIOBOIDk2ilc++QT+xqd/Z4OlbPGTO5/F3HumblPPtia2PDH/yq/8CmZnZ7Fjxw7vl7UkYgnDFvKIQxRFuHTpEl555RUUCgXs2LGjr8iEkmClUvE1kkul0gZr1hKsnttOIFRa1pxda30D8LI5/bIqk+pD36ZqqdU8iIR1kqKpVLw2npvXqfnJqhawH1r8RCOzVb7WiY9OLCgpMz2NliyJnP0CrlcT43XoJGdQ4B8AHyQ2Pj6Oqakpv/Sn3iO7Rjcl+UajgSiK/OfdbtfL42otWwXHStxxk8mAgNuB0vuP4uwH/m/8xULtNe3/03//3wCJ4Hp5vdjSxAwAL730Ej71qU8hl8thdHS0z3q0VhyhJBdnMXJbpVLBsWPH0G63sW/fPu8n1YczAF8atFar+SUXSToW1jrWcyshUtKOW3lIiYIyMcmNaTlqJZIErJxqrztOelckk0mfdkTpmoQYZ5VaKZx95KSD18oobM1Dp8SsEesawa0SONvgRCmZTGJ4eNj7ofU+E5SrK5UKOp0O0uk08vm8r61NQtdrUzeGToJoyWuUNkuG2smVTmL0GoKPOeBOIXXwAD70jz77DR3ztqEGzvzE225Nh7YBtoXT6oUXXkCr1cKRI0f8cozWFxxHiLrd7sOH/NmzZzE7O4u9e/difHzc+y31YdtqtbCysuKt5lqt5icJJCBtX8lXfbfWF85ANJKOPrhZHYuWJmVcXfqQ/bNyukJJS/vDPpE4rGUbN55KxDb4TOVvggSvqUUkYa3aZUmfa3MzbxtAH5my3CYAT3g6AWEKV6PR8IuDkCQ1Mpvt8rtgo98VLDSjEwuSNvvANnTMOMEJUdkBdwKJh4/ikV88MdCnPAj5RAZ//n1fwSsPHkH3xCu3qHdbF9vml37mzBmsrKzgyJEjfZbWIIt4EFETJJNarYbnnnsOH/zgB7Fv3z7Mzc1tWG2KixaUy2XU63WUy2UMDw/3pQ5Za4uw1pwGWAHwD3emASnR0ILlcQwYA9A3IYizGO046Plt/1h7WqV8EhjJW8ldU5E0P5zknM/nfXEYEhZJWC1+20+Vf0nOJOAoijzRch+OBSPW2Q6l5mq12rfOM2Voraut18XocV0YRFPCVELX9CuSOyd09DlrNDbfBwTcSiRHRtA7tA/3/JszGEvX8UDuT/C9I/OvfmAM/s9dX8Vj73orpk/c5E5uA2ybX3qn08H8/DwymQz27t0L5xwqlYr/TKXHQYgj6W63i1deeQVvfetbcd999+H555/3EbnAdWuuVqthcXER09PTWF1dxeTkpPepxkm8dqJgg7EUTAVjrWge12q1MDo66q0+RgZrdLdeW5w6YC04lbvpx83n896qVYLSSQQnDWyLJGevk5YuSY8k2Wg0fGS29scW5FC/t/ruSYK8bvWh1+t1P0myi1FwIYtCoeAnQZTDlVjZFu+3lbN5LQA2KBuM9FZ/PgPfOK5Byg641Uhkszj3yf049vQvIelujpfz5//hz+B//cQ7ELVbr75zgMe2IWZibm4O2WwWMzMzfQFEcQFQ1mqO860651Aul3Hy5Ek89dRTGBkZwerq6gai63a7uHbtGhYXF1EsFlGpVDwxR1Hkc2qtBRlnyVurlZK2WnW9Xg+VSgXFYhGZTMavNQz0L0FoiVcJxUrqug+3MSrZViTTIC1uU3mfliHJWX3dJEBeF9eWZuEPWtysW23vncr6jIqmtK9qCceOErf6ubl6FcdN1Qa6J+KC9nSSpZMbvtd8cB0L+sjVr5zJZDZEogcE3Cq4g/vxhad+HkmXu2ltZl0XiXv3Ibp0Bb3aawscC9gGwV8WnU4Hp06dwurqqo+upVWiwWBxf0C/H1gtzxMnTqDT6eC+++7re5gC10tLlkolzM7OYnV1FaVSyVuRGm1sg7B0IQOF9asyvUd9sK1WC/Pz875uuHNrC1gMDw/31aO2xUP0HDy3JVu16uIiuLm/Li9pfcK8Nj0vLdFms9mXa8xiH/V6vc/ypJVu1Qy1lG3EtZ3g6L5cm5mWMS1qDdbS4Dm2xQmDWvBxkju3a6EYXWGKEx11SXBstR57QMDNRu9nqxhN3DxSBoA3ZXL47c/8Opb/8sM3td2tjm1HzMTLL7+MSqWCycnJPik2rlzlIEtZLcT5+XlcuXIFhw8f7iscYclhZWUFy8vLqFarqNfrfTmuNpqb5+G546xl7sMJgpJGIpFAq9XyFjzTpqampjA6OuoJALjub40jLe0HcL04iObekoQ1oliJOc4NEDfx4bGaaqVLImq6EwnO3if2kX8kTbW0rczMvnKiYtUUVRa0WIn60jn2g6xnWzOb18B7lc1m/T2yPuVBOecBATcL9X+xB5Ve46a3m3ZJPPbDz8FJMGbAjbFtibndbuOVV15BuVzGvn37fMCRRuAOImUFSaXVauGll17C7t27sXfv3g2VvfiwrlarmJubw+rqKpaXl/uCfSy5qDWssqm2q5I5pV+14ujfXlhY8P1IpVLYvXu3T9dS369N+9HXdhysVaefW/+4XcrRtqlEyYIjIyMjGB0dRaFQ8NdK2Vzrb+t5qRyQvLWojFr0PM5OfHRSdiNXhgb42bQ7jrNNxbK54OwHi6uocsPj4yZrAQG3AoUvnkU7ujWTvx/f+ceofPjRW9L2VsS2JWZgzdd67tw5dDodTExM+MhiWwQD2JjPa8mo1+vh7NmzWFhYwMMPP4zR0dFY67bb7WJ5eRkLCws+tzmRSMT6ai1sf+I+Z7AUcD1iO4rWFk9YWVlBNptFs9nsk7FtOpIlZr1mJfBB/eJ7az3r5GNQ/3kcZV36erXGNgPEstms/5ySNq+BFjInPbyndoLA8yr5WQKNs651XKzCYCdRN5rUcXJBVwP7reqA5j0HBNwqvPSPDqKYuDVW7Y5kAf/oJz6J1f/hKZz9p08jOTWJxPAwEoUCklOTa38jI7fk3JsR2y74y6JWq+HYsWN49NFHsWvXLszNzaHZbHp/rf2LAwllcXERX/nKV/ChD30IZ86cQalUAtAf2RxFESqVCi5duoSxsTGMjIxg9+7dPtpYLd24c9KitOfWPvJBTuu/2WwinU6jXC5jdHQUuVwOpVIJpVIJi4uLmJmZ8YFRtl0b4cxzMW3JEqz2w1bCslXNuL/6pElsuh8/o5VrC6Gk02m/SIiOm05M1LLWtuIQFyGv16/jwPGxCkCc7GwnPTpZUH80/dq69rQWNAkIuBV48KELSLtbF/n/zfk2vumf/Z9IuyTK393CP1t4B06Wd+D/PvgfAQC/tPoQ/t3PfguyyxGGf+2Lt6wfmwHb2mImSqUSzpw5g+np6b662nHFJ4B+6VK3t9ttvPzyy5idncUjjzyCycnJPt+lEue1a9cwPz+P+fl5LCws9KU00XLXoLA4ktY+qK+XD3EGWznn/Jq/CwsL3mpst9s4d+4cLly44MnLEr1er5Xn1Wq0ke3W+lXXQByZ83/chMRKu9yXZJbNZlEsFn1Qm1q4Ohbq26VcTotbS4DyvY6p9lOvwS4kYu8Pj9P7pNW8rFqhOdOcpDFQLAR/BdxKVFq33gdcTGQx5NKYShbwkzufxW8d/n1MJQuYShbwP42fxO/82E+iPvn6aCmRzV7/Gx6G28R5/5u35zcRURTh8uXLmJycxD333NNnvbDkpVqqNt1G5d3FxUX81//6X/Ft3/ZtePTRR/GZz3ymb3lB7lsul3HhwgVks1n/8N21a5eXbWmJscJVnBVmt1EKVdJQMmDN5suXL3tyqNfrOH78OABg7969fgEGu/KUtdI1KIqEbScHer06ydB2LDgBsD5utsHr1klOr9fzY8br1MpctPB1uU1OQtSPr31jMB1fD8q7tn3X//Z7A6CPkBlpzokDo/TV4tfgsuBnDriVKHysh9U/q9/0yOzXil8pz+Cn/9W3I92I4B5/E6Jnjt9wfzc0hKXveAzR+s/r8F9/CUPJDq7Wh7FQLSL7yXHk/+OXbkPPbz4CMa+j1+vh3LlzOHLkCKampvxygtZaVesnjpwB4MKFC3j55Zdx//3349ixY5idne2TQvmwXVxcxIULFwBcJ5CdO3f2rQXMYzhBsBarEpj1gwPoIy5GBTPoLJVK4eDBg3jmmWdw7NgxAMDu3bs9MeqSiDa6WvOtVYIdZA1bP/SNxtR+bsHPdaKk8j9LcTKti+qHDcTSPikJat+1Qpq9bguV5fXaSc6UrW2qmk5uNOVKj48b24CAm4moWket18XoHdJRv2fkGr7nR/81AOD/uHYUn/izd+Ho333ef95rNlH+9idR/o41F2E23cEX3/KvNhRDaUddPPCpH8Lh330WUTqzKYubBGIWrKys4IUXXsATTzzhfXw239b6FYGNJFmpVPCFL3wB3/7t345HH30Uy8vLqNVq3gri/vV6HRcvXkSz2USr1fLkOzY21idp87ya0mRJLA7qG+XDnxY1C1jce++9SKfTOHnyJC5fvgwA2LVrV98CG5ZUAfQFLNGatFKvJRMlGu5nfbRx10UfrBbgYPu0MNk+86BV+iYh8tzcz1r4rOilkzFO0GwQmI4FyThOyiepavQ1CVlLe9JqVn983HcsIOBWoVcq4e1/8sM4882fuNNdwf829RL+4UeO45UPtXC5M4LfX30Iv/cbT6P5pjpOPfkp2XPjLCLtknj+O38GZ7+ti59beA/OfM9hdF88efs6fxMQiNlgbm4O3W4X09PTKJVKfbmpJAZ9MFsi4UN+dnYWJ0+exIMPPohjx47h4sWLG2RvAGg2m5ibm0Or1fLrA+/cuRNjY2MYHx/35MwykkpCKu0ScRY1gL7JBat+0Yd+4MABTExMYGlpCeVyGVevXvUlQ9WXq+fU8pWWVPW9tfJUPiapkni130q+QH+ktB1/tsXodu6jgWM2Els/4xjque29ikv1skqJtcJ1nBhVTn8/g/PS6bSfmOn9YkS5tdYDAm4VEiMjePb9PwvgzkjZFmmXxJsyOWTdMlKJHo7/0L9+zcfmExm8KQP87J4v4X/8hRQu/8Ud6F59fTW/7wQCMRtUq1XMzs7i6NGjWFpa6ltaUUlKfaY2jYYP3xMnTuDRRx/FAw88gMXFRVSrVQDX5VDu3263sbCwgFKphGq12leec8eOHb52NLDRr8lzWxKy+3FVpVQqhW63i0aj4ZeDTCQSGBsbw+joKFqtlq+u1W63fQqXFt1QArL+YCVBVQeUsGjVqi/VQscI2GiF6yTAWr7sg500WIK159J26NtXWdlaxtyukxDry9Yc9V5vrbIY1Qt+3+JWldJ7GxBwu9C7C79vh9JF/LOZ517Xsa+0q/jypx7BzoXN5WsOxGzQarVw8eJFHDhwAHv27EGtVvNEBvRHK+vrOJ/z1atXcfHiRezduxf79u3DmTNn0Gw2+x7w6guu1+uYnZ1FJpNBsVhEKpVCvV73lpZ9SKu/VP/bfhGM/GaN6UajgU6n05e3TcuOgWfOOe8T1UA05ttqxHVcvyjTqvVpC36wnxqsFifp8jhbylOv1Y6BStM2KAu4PrHQvvB+c3zs2MdZ0onE2qpYxWLRxwfopC5Oula/uL2vdluc+hAQcLPRxd1HzG8E/8fsB7HzZz5/p7vxDSOkSxlEUYQzZ8749Kn9+/ejUCh4STkujSruD1izhk6cOIGhoSEcOHAAO3fu7EudipPC6/U6Ll++jAsXLvhlIpU82Uci7mGtVp6SlpIDJVbgOhHV63Uvq9ogqEQi4ccBWLPAq9UqarWaj+JW36wNhNL+WB8zYd0EdnJhZXIlRTthUv+1btNx4wRDI7Pb7Tbq9ToajYZftcu6BdgeJwrpdBrj4+OYmpryi4ZQaeAEqN1ue+larXHri7YTCO1rsJ4DbiW6167hm//p38fzrZtflvNO4JdKU1j4G3vudDdeF16VmJ1z+5xzn3HOnXDOHXfO/fD69h93zl12zj23/vchOeZHnXOnnHMvO+e+5VZewK1Ar9fDK6+8gqWlJezfvx979+7FyMiIJ2fmnvLhr681V7fb7eLChQtoNpsoFAqYmZnB8PBwn9QKbEyzqVQquHz5spe3aWXbohhxpGzlbEtkDHLidl4PLV9GODebzdhUHeb+AmvqwsrKCsrlsic4JRcbvBRXdcsWE1Ey1yUY2Z6NWFbSilMz9HxxUfa0XCndV6tVVKtVX2yF16JLLur9ymazmJycxPDwcJ8Uzv5SYaB8z1QuJVm9bqs26D5vFNvxtxzwDSCKMP1zX8Bf//H/GQ996b+/0715w/gPV5+AuzB3p7vxuvBapOwOgL8XRdHXnHPDAJ5xzv3h+mf/Ioqin9KdnXMPAvgOAG8CsBvAHznnjkRR1L/e3V2Oubk5fPazn8U3f/M34+GHH0Y+n8f58+exsrLifcAMXooLCqM1tLS0hPPnz+Oee+7B4uIipqamvEWmljKPA66X7ZydncXIyAjy+bxPo+LDXs+jD3W+V9+z9fNqpLlOLnQRCsqwAPy6y8ViEclk0vvEK5UKEokEauvLuWl5SSXYQRMIS5xqQSpJ2ShoG9iln1lrU8eY48LiKvSbc1LBoCxL/vqaFnIqlUIul0Mul9uwTnK9XvcrUumEiJMdbVcjyOPujZL8TZCyt+VvOeAbw/gvfAGZypP4p4fuxz+YPHFLq4HdTDz4r/8WsosR/vLf/Ax++eW34sD/q42ofOpOd+t14VWJOYqiKwCurL8uO+deBHAjfeAjAH41iqImgLPOuVMA3gbgCzehv7cNURThypUr+IM/+AO84x3vwJvf/GaMjIzgxRdfxOLiIoDrSxlaElEZt9ls4tSpUzh06BCGh4cxMTGB1dXVPovMkiYAL2mPjY1haGgIo6OjGBkZ8SRiV1Wy8rElZW1b5XatXEVYomAqVy6Xw/j4OJxzGB0dxblz51AqleCc8z545hCr9RgXXWy3W9Kxkje3WWgwWpzVrMTGbSRjLuOoUrwN7OIEjIQ8NDSEQqHQNylz6374KIpQKpVQLpe9la2THEu69nptERfFTSDlbftbDvjGUfgPX8LnfmsYv/jjP4RuLsKffttPYVeqeKe7NRA/uXQI+/6gDHz5GP7057LYj2PYzDkM31Dwl3PuAIC3APgSgLcD+CHn3PcA+CrWZuLLWPuha6HTS4j58TvnPgbgY6+v27cHrVYLFy5cwG/91m+hXC7jqaeeQi6Xw9e//nUsLS2hWq16klF52KY1zc3NYXZ2Fnv27MHCwgJ27tzpl320OdJq4a2uruL8+fPeYubylJSbeayNCgcGp3LZBzytOc3j1ePZfqfTweLiIrLZLCYmJpBOp3HkyBGcP3/e+2MpBWtgGCPKB/VB+8e+a9Q2+2L7zP8MztI27P70qfMaWd6SvnQSsgaEqR8+n88jn89767her6NarXrSZrU0dTtEMcFfbNvK8Bppbq9F87JvZrrUzfwtr7fnf89Z5G9aPwPuHKJOBwf+t7U52Pd96gcw/487+NtHPoPHshfwcCZ7h3u3VkjkE6v7caU9hi//Dw8BLxy70126aXjNjivnXBHAbwD4O1EUlQD8HIBDAB7F2iz8n38jJ46i6ONRFD0RRdET38hxtxtRFKFareKP//iP8ZnPfAb33nsvHn30UczMzCCbzfYtQ2h9zESj0cArr7zird9MJoPp6em+Ih6EHttut3H16lWcPHkSFy9eRKlUQiqV8r5uPccgSVfbtH5KK9UyOIwSNi1BlbevXLmClZUVb0E++OCD2L9/vw96cs75nOxKpeLTv2wQlk4ibGCTElCclazqglrD9tp0P8rU9CGzgIzWz+Zxvd5apbR8Po+RkRFMTExgdHQUwFpd9Xq9DgA+1qBSqWB5edlHsbMd9bvba9brtBMVva64icYbxc3+LQP9v+c0wrq7Ww3RM8eR+fVx/Prb34wf+LG/g/v/9HvuaH/+8cKb8OC//SH85pt34ouPpNF74aU72p+bjddkMTvn0lj7If9yFEX/EQCiKLoqn/88gP+8/vYygH1y+N71bZsa1WoVn/vc57CwsIDv/d7vRTKZRKvVwrVr1/p8u+rLVMvnypUruHz5Mg4cOICvf/3rGB8f9wVFBhEUsFaAZHZ2Fi+99JJf5jCbzWJoaAj1en1grjDbU6uM22i1xUVNk6g6nQ6y2WxfHq5zayUjZ2dnkUqlMDw8jHa7jV27diGXy2FxcRErKys+6pgWY6PR6FsYwhbisPnC6uuOWziDfdcgKiVC4LqVTD8y/7gQhBIg75eu8cy1uRnoxsptrHHNOAGOCfuma0GrZax523r9mnJFBUQtf5uS9UYRfssBrxej/+6L6AIY+dQXMXzuEfzyo5MAgEeHLmGlN4SJRANfa659Xd6dO48/q+9DFwkczszh8UwSv1EdBwD8lcLyhjKaik9X8yj3rhc5+Zn/z7dj8ZEIf+ldX8bzf/cRoAekr5Zw8JWt61F5VWJ2a0+QTwB4MYqin5btu9Z9VgDwrQBeWH/9aQCfcs79NNYCRg4D+PJN7fUdQrPZxAsvvIDf+73fw4c//GFUKhW88MILXla2lg5w3RqqVqt46aWX8L73vQ9LS0uYm5vD2NgYyuVynwyux5A8Go0GTp8+jWQyiWKxiAMHDiCTyXg/KY/RACXrY9YAKD0Hz8NtGmREOZpEqesDX7x4EXv27PHXMDIygqmpKZ9CRV9rs9lEs9n08i8AL8frhIHQYCjnXF8wmU1/4v4kc+5LJYNjZ9OTbEEPXUkqTv1g+7S6WaZT3QD0xWuf1K0RN9465nETkFsgX4ffcsBNgfv81/FL96+R8L/+9m9D4XID5XuyGPnUmufjJ/+nv4qZn/0CEEVov/8v4dyH0zjy978Gl0zgp35jH/700U/hgT/8G/ibT3wW/2DiNADgj+tJ/PU//H48+OPn0Znzc0WM4wsYx9qXMoFnAQBbPfrwtVjMbwfw3QCOOeeeW9/2YwC+0zn3KIAIwDkAPwAAURQdd879OoATWIsC/cFoC0Vxdjod/Nmf/RnGx8fx1FNPxZZTBLCBoElmpVIJ+/fvx/z8PIaHh1EoFHwksLVe1QqvVCo4c+YMxsfHUSwWMTMzg3Q67YmS54yTdq2fWa0xHhfXd5IZiYvnA9aC086fP49qtYqZmRlvQabTaR/k1uv1UK1WUalUsLKygkql4q189ZGTkDRwjdY7LWH2S6+Tk4ZkMolCoeCXfVQrk+tM12o1NJtNH9nOcbF+b71flOWVfFX6pi9dVyCz5Bp3Lms5q9wdJ92rFP4GEX7LATcdxV9fI+OR/3Z928z/73pRj/QfPYPDf7T25YrawPT3l/DBh/8mjvzJc/iTo2/F7+5579p+pTaOfOHLCKuOv7ao7D8DEPdE+N0bHPNPAPyTN9CvuxqVSgX/6T/9J+zbtw9PPPEEarUaTp06teGhagOyVldXcfLkSbztbW/zEdZjY2OoVCqe3JUg1OLq9XpYXV3FiRMnUCwW+6pM8cFuc5eJOOK1pGSPU2kWgF98QVe96vXWaoIvLCxgcnISo6OjGB4e9hIy+z89PY1du3ahVCr5etw6oaF1yoIcfK0KgAZmAf3+WUr7tIxtu5SnWQ6Tbd7Ij0tij4umJmFzbAb5iu1Ei/+1Olnc/WGbWozmZiD8lgPuBnTmriI9d3WNqF94CZkXXvWQbYdQkvN1olKp4Jd+6Zfw5JNP4umnn0az2cTZs2f7fIlAfyAT93nwwQexb98+rKyseKtZ63EPemD3ej0sLCzgxRdfxPT0NI4cOYKhoSEftEVY62+QZaj+VUtMPLeua0wLVUmPBDU3N4erV68im80im80in89jx44d/troj52YmEAqlUK5XO5bOcs5561bYlAlMFrcWolNF4pQP7lWM7PXqX52HWf1AWtUNeMKqCRY4o3z9cdNlHTstVypXqfK2dZnHRAQsLURiPkNYG5uDp/73Ofw6KOP4t3vfjdqtRrm5+dRqVR8UBBwXZamhfnyyy/jySefxLlz59Dr9XzREfouCUvQURSh1Wrh3LlzGB8fx/j4OHbv3u39zcQg/zHQ78NV+TXO2ldiJyExEpnbSYq0rlljemlpCbOzsz6yeWpqCrlczkcua73sQVahHQuVkTmetJJXV1e93G7XrlYp2E5E9BpVPeBxbEvznuOC7Gwbes/0vmif4mp/q1/b5p0HYg4I2B4IxPwGsby8jE9+8pP4yEc+ggceeADJZBKzs7M+pYagJNpoNHDq1Cm8/e1v93nN4+PjPppZrVR9kOuDmcFgO3fuxMjICIrFIqIo6qsspSREkCjUB2sJS88VJ3UD6CNmJRVd/xhYI9ZKpYJSqYT5+XkUCgUf5WxJhkFZDLLSfWyxEhI7zwH01wePm5hYH68G3MVdo/rgmfusbd7I36vKh7Zvj9dzWSWD0Bzmm+BjDggI2AQIi1jcBFy8eBGf/vSnkcvl8PTTT2P37t0YGRlBLpfrSxEiwczNzeGll17Cvn37kM/nkUwmMT09jVwu17ev+iJtUNfy8jKOHTuG8+fPo91uY2hoqK+YB4/T/7rdStsWSorqi6VVTHnYrpCkEixzgVOpFJrNJhYXFzE7O4urV6/6ZTAZta1VuFQuZpCYgoFfwHXiouWu16nXomQMrBWPYcS2WuHch9J3p9Px+8QF1Vn3A/eLI2UrWes4K9QPbtsPCAjY+gjEfJNw+fJl/Mqv/AouXLiABx98EIcOHcLY2BgKhYIvKsKiIK1WCy+88AK63S4OHjyITqeDYrGI6elpX6RjEGGS+DqdDi5fvowXX3wRV65cQa/X8wtMML1Ij9HX/MwSahxZWCtSiVPLWdoUJLVImcPMCGqOQ61WQ61W8xHdfK1rXtsVtaw1aa9DI6jV3x9FkQ9K075rwJjmXTPFy/qm41QH7U/ceOp909dxE6a4fYO1HBCwvRCk7JuEbreL8+fP49d+7dfw0EMP4eGHH8bo6CguXLiAubk5v9ADH+rnzp3DK6+8gre85S24evUqVlZWsGPHDm9ZqqWoUrFaf/V6HS+++CKy2Sw6nQ527drlLVTWg9ZFGtiWDUhSK9cGHMVJvRopruUzoyjy1czYVw1M031V9tbJguYG87366LV/tVrNT0K4f7vd9mqDWv0kNy2TyXPzs1ar1XftjBDXa+Y9fDXVwfqWrR86Tsq398VOkAI5BwRsDwRivskol8v40pe+hKWlJbz3ve/FW97yFrz44ou4dOkSSqUSAPhlFV9++WU8/vjjeOCBB/DVr34VyWQSMzMzaLfbWFlZ8YRkpVISHACsrKzg+PHjXn7dtWsXRkZGkMlkfN5xs9nsk2wB9BENYQlH/1t/s77WqGGNMtZ+q6XJiQIJWdea5jWyjnUqldqQP0xw0kEy5X72muiT1sh3dQ2oy8AuyQj0R0qrT91ObAZFY9tx1GP0OFr0nAioVR7k7ICA7YNAzLcA3W4XJ0+eRKPRwNNPP43Dhw+jWCzi1KlTWFlZQaPRQKfTwdWrV3H8+HE88MAD2LdvH86fP49sNouxsTHUajW/YlOc7Mn/nU4H8/PzPtBqaWkJu3fvxsTEBEZGRrxsnEgkfHCYjfJ9NR80iSIOtGTV+uR2JRh7XiUrRpTTmiUBtlotb3lrNDPbpZVrCZdQa5vHMsBM/ebaruaDxykKNlJaJzg2R1qJNG7c2Z7up9uU1DXmICAgYGsjEPMtAqXt5eVlPPXUUzh69KgnHhIJreY9e/bg8OHDWF5exurqql/NSMtIEnHRu91uF0tLS2g2m7h27Rrm5+exb98+7NmzBxMTE74AhxIYcF1aVuuVZBDnQ+X59fO4QCslaBu8RAmZ7zVPmNK7lqfUNmg96zjY1bn0MyXkuLFjsBjPawt/qATOY+PSrawrQCcOtqqXHqft6GRAr5/bW60W5ufnB33dAgICthACMd9CRNHa0o1/9md/hsXFRTz55JO+KlWlUkGn08Hc3BxOnz6Nd77znThy5Aief/55OOdQLBb9EopAf7ENvlfrkxZzrVbDtWvXcOXKFRw5cgT33HMP9u/fj0KhgEwm02ehso9AvyWupBtHavpe+2Yl27ioYpKhEiHbtcSlPmkb4Wz7Yn242mac4sCcZ6oXti/AdSuXn1sL2p4vThEYNHHh/iRhSvkaF9BsNn21tHPnzuHixYsbvmMBAQFbD4GYbwOq1SqOHz+OXq+Hxx9/HFEU4eLFiz5d6Ny5c3jooYdwzz334NKlS7h27RqKxSJWV1fRbDY3RCYrLPl1Oh1/HKOLM5kM9u/f7xd2sL5atq0BWGrR2Shh7q/blNB1mw0iU2uSsH5rG/ClFrAlPisv22tSclSfNouT6DXaADPrF9bxt2Oi7dBXHDeW3J9V1AB4F8Ty8jJKpZJfmrJarWJlZcXXG9dc6oCAgK2LQMy3CfV6HceOHUO328UjjzziF7JYXV3FwsICjh8/jqeffhoHDx5EqVRCLpfD6OgoarWal3utVGotVJWPKX1y+UaWyGRlLE1nupGPM45AuZ8NSFIp2Mrg9jzWCo6reKbka4mffm2+5n7ARmtc/cAawKUTGq2FbX3gcWMQdy3cZgPINLCN+dbtdhsXL17EuXPncPbsWSwsLPj0LAay6UQhbjIVEBCwNRGI+Tai3W7j2LFjWFpawhNPPIF7773Xk/OFCxewd+9eHDhwAPPz8zh37hxGRkawurqKSqWyYSUmIN4i1M/a7TauXbuGU6dOYXp6GmNjY0in00ilUp7sCZWt+d4GXNntPI+Vjy0J87i4z5QcrRUaJx0rLEFagmYbTB+zlq9a8+rbtuRsz0kMSivT/tCfrmlh165dw4kTJ/Diiy9ibm4OjUajb5WwuHG0/QgICNi6CMR8m9Hr9XDp0iUsLi7i3nvvxcMPP4yxsTH0ej2cOXMGe/bswSOPPIJKpQIAmJqa8sUvrOVkJWCgn6y575UrV3D58mXMzMz0Wc26nOIgH3Ic+bNta7nr9rg+2qIn/Cyu0tUg61y363EqZ2s6GfejVcx2aMXGEd4gC9nK+q9mTfPaKJ83Gg2cPXsWzz77LC5evOjlaY6jFpexvnGNCwgICNjaCMR8BxBFEWq1Gk6cOOHJ+J577kGr1cL58+fxyCOP4LHHHsMXv/hFdDodX29aJVglQWuB6v9EIoFGo4G5uTksLS351ayGhob6iGOQVQpstJIH7TNom7Uiue1Gfmv+VwK1RUjsZMISJqXgONldr0snGHH9jfOh22C8uPPzdSKRQKVSwQsvvICzZ8/i8uXLaDabPjWOVeHod1Y/dbvd9vECjUYD1Wr1hvchICBg8yMQ8x1EFEWo1+s4deoUzp49i1wuhwsXLiCbzeLd73430uk0vv71rwNYq8ddr9c3pFCpD1J9zRpE1e12sbCwgCtXrqBYLPqynSw+Yq2+uH5ye1wKkd1H24mzogcFf9niHWpRU25mXraewxIufcxqWev51E+tEvSNgryUnAdNUrQ/lLFTqRRWVlbw1a9+FefOnYNzDpOTk35fuhVqtZqP1Nd+ZTIZ5HI5jIyMoNfrYW5uLvbcAQEBWweBmO8SMN3pueeew/nz53Hp0iV80zd9E77zO78TX/rSl/C5z30Os7OzqFarfQRMQtOAoTi5dWVlBadOncLw8DCGh4cxNTXlrWYlA7VUrRwMXCc1+m1toBj7xaUgrWVso5PZR22bnykBkmzjVoXSCGjC+p5tmU6ew8rlgyYbg15bcEKk/T127Biee+45NBoNL1f3er2+imzW186/RCLha62Xy+XBX6CAgIAtg0DMdyGWl5fx8z//8/j3//7f4zu+4zvw1FNP4d3vfjdOnjyJubk5v3Zzs9n0iy5wpSRanUqYwNpqSpcuXUKxWEQ2m0U6nUaxWMTQ0BCA68tSAv2BYNqGkqD6aYm4QDAex/1VNubrOFla+3Ejy1z342TiRrI824irfW0LjNhzABv92YOC1ihJnz9/Hs8//zxWV1fR6/X8cqBWRdDzqFzunEO5XPYVzgICArY+AjHfpWC608/+7M/i4x//OHbu3Im3v/3tKBaLGBsbQz6fRyaTwerqKq5evYqFhQUfTESCVssaAJrNJs6ePYuhoSGkUikcPHgQ2WwW2Wx2Q2SwTXeKi4DmdlrHailrGyQufpZIJPqWi4yz8C25xpEg+6Eys+4fVyLTTjT0+rjvayV1Hs8Jh82BvnbtGr7yla/g2rVrffdD+6T9JaHr+DBdLiAgYPsgEPNdjl6vh0ajgXPnzuHy5ctIJpMoFApIpVJejt67dy92796NxcVFrK6uwjm3YQ1h/q9UKjh9+rSXSPfv349sNuvPA2CDJUwoObJNtaL1WCt9A9d9r5q6pPnIg0h5kHSsRBfnm9Y+x1nJcZa4/a+f20pkg4qbsC7517/+dZw5cyZWhudYaQ1s5xzS6TTa7TbK5fJAqzogIGBrIxDzJgKtYRLo1atXkUwmcfr0abzpTW/yQUXLy8ved6yglba0tISTJ09ieHjYEzuDwSwpWql5kEyt/mXCvreFPezxehzPDaCvjTg/sbaj23SZTEKrctk2eG4b8MU+0Fdt87ptW4lEAqdPn8Zzzz2Hcrnsx93WwCYxO+fQaDTQ6/WwtLS0oX8BAQHbC4GYNzm63S5KpRKeffZZPPLII9i1a5cnZK4mRStVy0OWy2VcuHABhUIBo6OjmJiY8MFgNi1LLTotqKGkp5HIADbIyrZSmRK+JUGNxNZzxdWrtv8HLbzBduMW3tB94iYKaoWzDTsOALz1e+7cOXz+85/H0tJSX+CZjkU+n4dzDgsLC2g2m8EyDggI8AjEvAUQRWtpV1//+tdRqVRw6NAhpFIp1Go1HzTEhRg0F3d+fh6FQsHnNQ8PDyOZTKJWq8X6lG8k38ZFLd+IAPlafcH2M7sf+2GhQV83KinKtgblLMf5tQl7DPttq4zNzs7iM5/5DM6fP+9JXFO8uELW6uoqqtVqKLUZEBCwAYGYtxDq9TpOnjyJSqWCo0ePYnh42Oc+q8+ZZE3LmasWvfnNb8bIyAgSiQTa7TZarVYscQ1a+hC4XqYyjhBtO4SSnqY1xUVlD2pfz2Hrad+oqIn2/0ayuLWitc8k24sXL+Lzn/88zp8/D+fWcpCTyaT/63a7qNfrfauGBQQEBFgEYt5iaDabOH/+PCqVCiYmJpBKpbBr1y5fWQpYW+2KpJFOp9Hr9fDyyy+j1WrhTW96E6amplAoFPpSsriykVqKJHqb82wtayXKG0VGEyoVK0ie9li1gjWNSyOdlZwHWd83ImEbca2TgGq1itOnT+OLX/wirly54gPrtF8rKyteiQgICAi4EQIxb0FEUYRr167h2rVrcM7h9OnTnqzS6TSiKMLExAQmJiawb98+FItFJBIJXL58Ga1WC/feey/uvfdejI6OIpfLodVqecubkcVcBCOdTsM517dutJKWTWey8rKVs3mcjXy2vm4L26YuHgHA16QG+oPC4uRru43jxs85cVhZWcHly5fxyiuv4Pz586jX68jn816+Xl5eRqfTQbVaRavVep13MyAgYLshEPMWRxRFaDabG7aXSiWcP38ezz33HMbGxjA0NISZmRlcvXoVFy9exIULF/DEE0/gwIEDGB8fR6PRQLlc9vnOlMPjLFi1qIHrFjNJWwOnAPSlS+n+lpBt6tWNfMJq/SaTyb61qEnccRHnGkCm19Zut1GtVrG0tISFhQVcu3YNV69eRblc9u1PTEwAAObm5nD27NmwfnJAQMDrQiDmbQxajUtLSwDWCIWW4fDwME6cOIFHH30U73//+zE5OYmRkRFUKhU0Gg1ffUwlXoKFRliyUwnPpkop+TFyXMnYRm4r6LeNi8SOS6uiWsBj7cpYekyn00Gz2US5XMa1a9dw8eJFLC4uolqtolqter9xu91GvV5HpVLBpUuXUK1WAyEHBAS8Ibi7weflnFsAUAVw7Q53Zeou6AMQ+mER+nEd90RRNH2H+3BDOOfKAF6+0/3A3XG/gLujH3dDH4DQD4vY3/NdQcwA4Jz7ahRFT2z3PoR+hH5sdtwt4xT6cXf1IfTjtWOjBhgQEBAQEBBwxxCIOSAgICAg4C7C3UTMH7/THcDd0Qcg9MMi9GNz4W4Zp9CP67gb+gCEfrwm3DU+5oCAgICAgIC7y2IOCAgICAjY9rjjxOyc+4Bz7mXn3Cnn3I/c5nOfc84dc84955z76vq2CefcHzrnTq7/H78F5/2kc27eOfeCbIs9r1vDv1wfn+edc4/d4n78uHPu8vqYPOec+5B89qPr/XjZOfctN6kP+5xzn3HOnXDOHXfO/fD69ts6Hjfox20dj82OO/V7Dr/lO/9bXm/3jv+et8RvmQUf7sQfgCSA0wAOAsgA+DqAB2/j+c8BmDLb/r8AfmT99Y8A+Ge34LzvAvAYgBde7bwAPgTgvwBwAJ4C8KVb3I8fB/D3Y/Z9cP3+DAG4d/2+JW9CH3YBeGz99TCAV9bPdVvH4wb9uK3jsZn/7uTvOfyW7/xveb3tO/573gq/5TttMb8NwKkois5EUdQC8KsAPnKH+/QRAL+4/voXAfylm32CKIo+B2DpNZ73IwB+KVrDFwGMOed23cJ+DMJHAPxqFEXNKIrOAjiFtfv3RvtwJYqir62/LgN4EcAe3ObxuEE/BuGWjMcmx932ew6/5Xjcsu/u3fB73gq/5TtNzHsAXJT3l3DjAbzZiAD8gXPuGefcx9a3zURRdGX99RyAmdvUl0HnvRNj9EPrstInRf675f1wzh0A8BYAX8IdHA/TD+AOjccmxJ0ck/Bbjscd++7eDb/nzfpbvtPEfKfxjiiKHgPwQQA/6Jx7l34Yrekctz1s/U6ddx0/B+AQgEcBXAHwz2/HSZ1zRQC/AeDvRFFU0s9u53jE9OOOjEfAN4zwW96IO/bdvRt+z5v5t3ynifkygH3yfu/6ttuCKIour/+fB/CbWJMvrlJKWf8/f5u6M+i8t3WMoii6GkVRN4qiHoCfx3VJ55b1wzmXxtoP6JejKPqP65tv+3jE9eNOjMcmxh0bk/Bb3og79d29G37Pm/23fKeJ+SsADjvn7nXOZQB8B4BP344TO+cKzrlhvgbwzQBeWD//R9d3+yiA374d/bnBeT8N4HvWoxefArAqktBNh/HvfCvWxoT9+A7n3JBz7l4AhwF8+SaczwH4BIAXoyj6afnoto7HoH7c7vHY5Lgjv+fwW47Hnfju3g2/5y3xW77d0Wb2D2tRea9gLRLuf72N5z2ItUi8rwM4znMDmATwxwBOAvgjABO34Ny/gjUppY01f8b3Dzov1qIV/9X6+BwD8MQt7se/XT/P81j7wu6S/f/X9X68DOCDN6kP78CarPU8gOfW/z50u8fjBv24reOx2f/uxO85/Jbvjt/yert3/Pe8FX7LofJXQEBAQEDAXYQ7LWUHBAQEBAQECAIxBwQEBAQE3EUIxBwQEBAQEHAXIRBzQEBAQEDAXYRAzAEBAQEBAXcRAjEHBAQEBATcRQjEHBAQEBAQcBchEHNAQEBAQMBdhP8/bhuHvysIpfcAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 576x288 with 2 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    }
   ],
   "source": [
    "deformed_data_dict = rand_elastic(data_dict)\n",
    "print(f\"image shape: {deformed_data_dict['image'].shape}\")\n",
    "\n",
    "image, label = deformed_data_dict[\"image\"][0], deformed_data_dict[\"label\"][0]\n",
    "plt.figure(\"visualise\", (8, 4))\n",
    "plt.subplot(1, 2, 1)\n",
    "plt.title(\"image\")\n",
    "plt.imshow(image[:, :, 5], cmap=\"gray\")\n",
    "plt.subplot(1, 2, 2)\n",
    "plt.title(\"label\")\n",
    "plt.imshow(label[:, :, 5])\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Cleanup data directory\n",
    "\n",
    "Remove directory if a temporary was used."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "if directory is None:\n",
    "    shutil.rmtree(root_dir)"
   ]
  }
 ],
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